ARCC — Deep PE / Hedge Fund Due Diligence Framework

Prioritized descending — what a sophisticated investor would work through first, with current (Q2 2026) context flagged where relevant.

1. Credit quality of the core loan book (highest signal) - Non-accruals trending up: 2.4% at amortized cost / 1.4% at fair value in Q2, up from 1.8% / 1.2% at year-end. $708M of non-accruals, +15% QoQ, +26% YoY. - The direction and slope of non-accruals, not the absolute level (still below the ~3% post-GFC historical average). - Dive into the specific new non-accruals (AmeriVet, BMG Creative/Aventine, OTG, Nationwide Marketing, Manna Pro) — vintage, sponsor quality, recovery marks (62–73 cents vs. 75–85 cents), and second-lien vs. first-lien exposure. - Watch-list names still accruing (especially PIK loans with high PIK coupons) and the gap between amortized-cost and fair-value non-accruals. - Risk-rating migration (grades 1–2 drift), organic LTM EBITDA growth (~8% reported), equity cushions (>50% beneath positions), and interest-coverage/leverage trends of borrowers.

2. Realized losses and their trajectory - Realized vs. unrealized: $183M net unrealized losses + $5M realized in Q2; Eagle Football realized ~$70M loss. - The key question for a PE investor: are unrealized markdowns converting to realized losses, and at what recovery rate? Track loss-given-default and recoveries (where ARCC's track record is claimed to be above average). - First-half 2026 net realized/unrealized of −$494M vs. −$105M a year ago.

3. NAV durability and marks - NAV per share declined two consecutive quarters: $19.94 → $19.59 → $19.35 (down ~1.2% QoQ). - Fair-value marking discipline — are marks lagging public-market comps or the sponsor's own marks on the same names? - Quality of the NAV: mix of unrealized appreciation in equity co-investments vs. borrowings, and the risk of a "NAV catch-down" if marks are stale.

4. Earnings quality and dividend coverage - NII per share $0.50 vs. $0.48 dividend = ~1.04x coverage; Core EPS $0.47 (below the $0.48 dividend on a core basis). - Trend of coverage: NII fell from $2.28/sh (2023) → $2.25 (2024) → $2.02 (2025). Margin is compressing. - Split between cash interest vs. PIK income — rising PIK is a red flag for cash earnings quality. - Spillover income cushion: ~$988M / $1.38 per share available, which currently masks thin current-period coverage.

5. Rate environment and floating-rate sensitivity - 94% of new commitments floating-rate, 76% with floors; weighted average yield ~10.3% at amortized cost. - Base-rate (SOFR) scenario analysis — NII sensitivity given the mostly-floating book, net of incentive fees and floors.

6. Leverage and balance-sheet/funding structure (new 2026 development) - Debt/equity 1.15x (1.12x net of cash), modest but drifting up. - New: inaugural ~$1B commercial paper program (first in the BDC sector) — lower-cost funding but introduces rollover/refinancing risk and reliance on the credit facility backstop. - $1.2B raised in Q2; CLO refinancing (ADL CLO 1, SOFR+1.46%); $1B unsecured notes repaid July 2026. - Maturity ladder: no unsecured maturities in 2026, $1.4B in 2027 — manageable but the CP program changes the liquidity-risk profile.

7. Origination quality and spread capture - New senior commitments ~20bps wider spreads, +50bps upfront fees vs. Q4 2025; weighted avg yield on new funding ~9.4%. - 75% of Q2 activity with incumbents; 619 portfolio companies; 273 PE sponsors. Concentration and the reliance on repeat borrowers. - Backlog ($1.5B as of Jul 23, 2026) vs. deployment pace — the book is net shrinking (exits $2.92B > commitments $2.59B in Q2).

8. Portfolio construction (top-down allocation) - First-lien vs. second-lien vs. subordinated/equity mix; software/book exposure (flagged as AI-vulnerable); consumer-facing and veterinary/animal-care concentration (recent non-accrual cluster). - Largest single name <1.3% (ex-Ivy Hill/SDLP) — diversification vs. the idiosyncratic tail risk.

9. Valuation vs. peers and entry multiple - Trades at ~3% discount to NAV, ~10.2% dividend yield. - Price/NAV premium-or-discount history vs. peer BDCs (FSKR, BXSL, OBDC, MAIN, GBDC) and vs. the replacement cost of the asset base. - A PE lens frames this as: am I paying a premium for the Ares platform/platform scale, or buying at a discount to a book with deteriorating marks?

10. Governance, fee structure, and alignment (externally-managed BDC) - Ares Management (ARES) external manager — management + incentive fees (base fee, income incentive fee, capital gains incentive fee), and the alignment (or conflict) created by the SDLP and IHAM sales/subsidiary structures. - The $21% of Q2 commitments to the IHAM subordinated loan is a related-party/affiliate-transaction flag worth scrutinizing — also a large portion of exits (13%). - Track record: 17 consecutive years of stable/growing dividends, NAV +30% since inception — but validate whether that reflects skill or a benign credit cycle now normalizing.

11. Macro/cycle positioning - Management's own framing: "credit normalization" after an extended benign period, dispersion widening across managers. Peak-credit-cycle risk. - Recession scenario: non-accrual spike + NII decline = forced dividend reassessment (the Motley Fool/Seeking Alpha "thin cushion" thesis).

12. Liquidity and event monitoring (near-term tripwires) - $6.0B available liquidity; ability to fund the $1.5B backlog and unfunded revolvers/delayed draws. - Earnings-call tripwires: does NAV fall a third consecutive quarter? Do non-accruals rise again? Does Core EPS stay below the dividend? Does a major markdown become a realized loss?

Summary of the single most important question: Is the $0.48 dividend sustainable on a cash basis through a credit normalization, and what is the mark on the book telling you that the income statement is not yet? Everything else (yield, discount, funding innovation) is secondary to that.

Yes — and for the specific metrics a deep PE/hedge fund investor cares about, there are two categories of public sites that report this data directly (not via the raw 10-Q).

Best single-purpose BDC data sites (the ones that report the granular credit/NAV data):

1. BDC Investor (bdcinvestor.com/arcc/) — the closest to a "Bloomberg for BDCs." Per-ticker pages that lay out, in standardized tables and history charts:

   • Price/NAV (current and full history), NAV/share history, dividend history
   • Debt/equity ratio, non-accruals at cost and at fair value (they show 2.4% / 1.4%)
   • Realized and unrealized gains/losses per quarter, originations vs. repayments
   • Peer screens — price/NAV rankings across ~45 BDCs, NAV growth rankings, etc.
   • This is where most of the "portfolio/credit/NAV" data in the framework lives, updated quarterly.

2. Oxford Ledge (oxfordledge.com/bdcs/ARCC/) — parses the actual Schedule of Investments from the 10-Q/10-K. This is the only free, public site I found that goes to the loan-by-loan level: borrower name, lien position, fair value, spread, PIK share per loan, non-accrual status, plus summary metrics (dividend coverage, NAV, price/NAV). This is the closest thing to what a credit analyst builds in-house.

3. Dealcharts (dealcharts.org/capitalmarkets/bdcs/ares-capital) — NPORT-P-derived portfolio analytics, peer comparisons, and time-series tracking; available via API/Snowflake. More for systematic/programmatic work.

Analyst/research commentary sites (report the numbers, but mixed with opinion):

1. The Drift (readthedrift.com) — publishes ARCC-specific deep dives that surface exactly the metrics in the framework: NII vs. dividend coverage (1.04x), NAV/share trend, non-accruals at cost and fair value, PIK vs. cash income. Factual tables sourced from the 8-K, clearly separated from commentary.

2. Seeking Alpha — individual authors (notably the "Systematic Income" and peer-comparison series) publish tables with NAV economic return, NII coverage, capitalized PIK income as % of interest income, and non-accrual comparisons against 14+ BDC peers. Useful for the peer/valuation layer, but it's paywalled and opinion-heavy — the underlying numbers are in the tables, the conclusions are the author's.

3. Motley Fool and Zacks — report the headline coverage/yield/non-accrual figures but at a retail summary level; less granular, more narrative.

What's generally not available on leading free sites (the gap): - Loan-vintage, sponsor-by-sponsor loss history and recovery-rate curves. - True cash-NII excluding PIK on a consolidated, time-series basis — PIK is disclosed in SEC filings (and partially at Oxford Ledge at the loan level), but almost no free site computes "cash-only coverage" as a clean historical series. - Real-time intra-quarter NAV estimates (Seeking Alpha authors publish their own estimates, but that's proprietary methodology).

Practical takeaway: For a quick Google-accessible read, BDC Investor gives the cleanest single-page snapshot of the credit/NAV/valuation metrics, and Oxford Ledge is the tool for drilling into PIK and loan-level non-accrual detail. The Drift and certain Seeking Alpha authors are the best for connecting those numbers to a dividend-sustainability thesis — but everything there ultimately traces back to the SEC 10-Q/8-K, which remains the primary source for the loan-level and PIK data they report.

Yes — all of it is public, and it's granular enough to build McKinsey-style one-chart-per-slide exhibits. Here's the practical lay of the land.

What's unambiguously public (no paywall, from SEC filings):

• NAV/share, NAV history, total NAV return
• NII/Share, Core EPS, dividend, and coverage ratio
• Non-accruals (at cost and at fair value), realized & unrealized gains/losses
• Debt/equity, leverage, funding mix, maturities
• Portfolio fair value, originations vs. repayments, weighted average yield
• PIK income, lien mix (first-lien/second-lien/subordinated/equity), floating vs. fixed, floors
• Loan-level data (borrower, spread, PIK share, non-accrual status) via the Schedule of Investments

This is exactly the data a consulting slide deck needs. The raw source is the 10-Q/10-K on SEC EDGAR, and there are free aggregators (BDC Investor, Oxford Ledge, Dealcharts) that already normalize it into tables you can chart.

Where it gets harder (the honest caveat):

• Historical time series are fragmented. SEC filings give you point-in-time snapshots. To build a 5–10 year trend chart (non-accrual rate, NAV growth, dividend coverage over a decade), you either stitch together many quarterly filings manually or pull from a paid data terminal. BDC Investor and Macrotrends have some pre-built history (NAV, price/NAV, dividend), but the loan-level stuff (PIK by vintage, non-accrual by industry) usually requires manual assembly.
• Peer comparison panels exist but are scattered — Seeking Alpha authors publish 14-peer comparison tables, but they're paywalled and formatted for articles, not clean slides.
• Loan-level and vintage data is public in raw form but not in "slide-ready" aggregated cuts (e.g., "non-accruals by sponsor" or "PIK % by vintage"). You'd compute those yourself from Oxford Ledge / EDGAR.

Practical answer for your deck:

For a single ARCC deep-dive deck (10–15 slides, 1 chart each), you can build the entire thing from public data with no paid terminal. The workflow is:

1. Current-state metrics → BDC Investor + Oxford Ledge (free, already tabulated).
2. Trend charts → combine BDC Investor history + Macrotrends for dividend/yield, and hand-stitch quarterly 10-Q figures for credit metrics (they're only a handful of numbers per quarter).
3. Peer/benchmark → BDC Investor screens + SEC's free BDC data set (flat files, downloadable) for systematic comparison.

The only things that would genuinely require a paid source (Bloomberg, S&P Capital IQ, LCD, PitchBook) are cleaner historical time series, broader-market private-credit comparables (e.g., default rates by vintage across the whole private-credit universe, not just ARCC), and intra-quarter NAV estimates. For a single-company McKinsey-style story, you don't need those.

So: the data is public, and there is more than enough granularity to make the exact charts your framework implies — just be prepared to stitch some history manually rather than download one clean CSV.

Here's the full analysis framework restated as a chart-by-chart spec — what's plotted on the x-axis, y-axis, each series, and the type of chart that reads best on a McKinsey slide. Grouped under your original 12 analysis points.

1. Credit quality of the loan book

1a. Line chart — Non-accrual rate (%) on y-axis; time (quarters, e.g. Q1'20 → Q2'26) on x-axis. Two lines: at amortized cost and at fair value. Optional horizontal reference line at ~3.0% = long-run historical average.

1b. Waterfall (or grouped bar) — Dollar non-accruals bridge: Q1'26 level → add new non-accruals (AmeriVet $84.6M, BMG/Aventine $55.9M, OTG $9.7M, Nationwide $12.5M, Manna Pro) → minus removals/recoveries (Eagle Football) → Q2'26 level ($708M).

1c. Scatter / risk-map — Each non-accrual loan as a point: x = loan size ($M), y = mark-to-market (cents on dollar, 62¢–85¢). Bubble size = loan size. Shows recovery prospects at a glance.

1d. Stacked bar — Portfolio risk-rating distribution (grades 1–5) as % of portfolio, stacked, by quarter — shows grade 1–2 drift.

2. Realized losses and trajectory

2a. Grouped bar — Realized vs. unrealized gains/losses ($M), paired bars per quarter (trailing 8 quarters).

2b. Line chart — Cumulative net realized losses ($M) over time, with a second line for cumulative realized gains — shows if ARCC's "recovery upside" claim holds up.

2c. Scatter — Each realized loss (e.g., Eagle Football −$70M) plotted as x = year originated, y = loss realized — vintage-vs-loss pattern.

3. NAV durability

3a. Line chart — NAV/share ($) over 5–10 years, with dividend payments overlaid as a stepped/area chart to show cumulative distributions vs. NAV growth.

3b. Dual-axis line — NAV/share (left axis, $) vs. the gap between portfolio fair value and amortized cost (right axis, %) — shows if marks are drifting unfavorably.

3c. Bar chart — Quarterly NAV per share change ($), colored green/red, with the Q2'26 −$0.24 callout.

4. Earnings quality and dividend coverage

4a. Grouped bar — Per-share stack each quarter: NII/share, Core EPS, and dividend, as three bars side by side. Visually shows the narrowing cushion (NII $0.50 vs. dividend $0.48).

4b. Line chart — Dividend coverage ratio (NII ÷ dividend) over time, with a 1.0x reference line.

4c. Stacked area — Total investment income split: cash interest vs. PIK interest vs. fees/dividend/other — over time. Rising PIK share = the red flag.

4d. Bar chart — Spillover income ($M or $/share) by year, showing the ~$988M / $1.38 cushion.

5. Rate sensitivity

5a. Line / sensitivity chart — NII per share under different SOFR/base-rate scenarios (e.g., −200bps to +200bps), with a shaded "current" band. One line for base-case NII, sensitivity bars.

5b. Stacked bar / dual panel — Portfolio mix: floating vs. fixed, overlaid with % of floating loans that carry interest-rate floors (94% floating, 76% with floors).

6. Leverage and funding structure

6a. Line chart — Debt/equity ratio over time (1.15x gross, 1.12x net of cash), with a regulatory/comfort reference line.

6b. Composition bar (stacked) — Funding stack by source: unsecured notes, credit facilities/revolvers, CLOs/term securitizations, commercial paper (new) — over time, showing the CP program entry.

6c. Ladder / step chart — Debt maturities by year ($M) — shows the $1.4B in 2027 and no near-term wall.

6d. Liquidity bar — Available liquidity ($6.0B) vs. unfunded commitments and backlog ($1.5B) — a simple "coverage" bar.

7. Origination quality and spread capture

7a. Line chart — Weighted average yield on new commitments vs. weighted average yield on exits/repayments (Q2: ~9.4% in vs. ~8.3% out). The spread between the two lines = economic capture.

7b. Bar chart — New commitment spreads vs. prior periods (basis points over SOFR), with a separate bar for upfront fees — shows the +20bps / +50bps improvement.

7c. Donut/stacked bar — Originations split: incumbent (75%) vs. new borrowers; first-lien (68%) vs. other structures.

8. Portfolio construction

8a. Stacked bar (or treemap) — Portfolio by lien position: first-lien, second-lien, subordinated, preferred/equity.

8b. Stacked bar — Portfolio by industry/sector, with software, healthcare, consumer, and the AI-exposed/veterinary cluster broken out.

8c. Concentration bar — Largest single positions as % of portfolio (top 10), showing the <1.3% cap and the IHAM/SDLP carve-outs.

9. Valuation vs. peers

9a. Line chart — Price/NAV over time (current ~0.96–1.03x), with a 1.00x reference line.

9b. Horizontal bar — Price/NAV vs. NAV discount/premium across peer BDCs (ARCC, FSKR, BXSL, OBDC, MAIN, GBDC, HTGC) — descending sort.

9c. Scatter / bubble — Dividend yield (x-axis) vs. price/NAV (y-axis) across BDCs, ARCC highlighted. Bubble = market cap.

10. Governance and alignment

10a. Stacked bar / waterfall — Revenue to fee flow: management + incentive fees as % of total expenses, and incentive fees as % of NII — showing the external-manager economics.

10b. Bar chart — Related-party / affiliate exposure ($M): IHAM subordinated loan (21% of Q2 commitments) and SDLP, tracked over time.

10c. Line chart — Cumulative NAV growth vs. cumulative fees paid since inception — the "alignment" test.

11. Macro / cycle positioning

11a. Line chart — ARCC non-accrual rate vs. a recession indicator (e.g., US high-yield default rate or a BDC sector average) on the same axis — shows where ARCC sits in the cycle.

11b. Bar / area — Industry-wide private-credit default rate vs. ARCC's — highlights the dispersion/normalization thesis management raises.

12. Near-term tripwires / monitoring

12a. Dashboard-style indicators (a single "signal" slide) — quarterly sparklines for: NAV/share, non-accrual %, NII coverage, Core EPS vs. dividend, backlog vs. liquidity — each with a green/amber/red flag.

12b. Scenario table-as-chart — A 2×2 or tornado chart: base vs. recession vs. rate-shock scenarios, plotting NII/share and dividend coverage under each.

How this maps to a deck (rough page count ~18–20 slides):

The single most important slide — the one that should anchor the whole deck and sit right after the exec summary — is chart 4b (dividend coverage over time) combined with 1a (non-accrual trend) on one page: "Is the $0.48 dividend sustainable on a cash basis through credit normalization?" Every other chart supports that one question.

Here's the list. Note that BDCs don't strictly report "AUM" — the equivalent size metrics are total assets, investments at fair value, and net assets (NAV). I've ranked by net assets (the cleanest apples-to-apples measure), which is what the leading BDC screens use.

Largest publicly traded BDCs by net assets (as of July/Aug 2026)

Mid/large-cap peers ($500M–$1.1B net assets)

A few important caveats for a PE/hedge fund deck:

• "AUM" would be misleading for a BDC. The sponsor's platform AUM is a different number — e.g., Blue Owl's credit platform manages ~$159B, Golub's parent ~$90B, FS/KKR ~$21B. But ARCC's own balance sheet is $30.5B total assets / $14.1B NAV. When you chart this, use total assets or net assets, and label it clearly, not "AUM."
• Enterprise value vs. book value matters. Market cap diverges sharply from NAV for some names: MAIN trades at ~1.5–1.8x NAV (market cap ~$5.5B vs. $3.1B NAV), while PSEC trades at ~0.43x and FSK at ~0.70x. Ranking by market cap gives a different order (ARCC, BXSL, OBDC, MAIN, GBDC...).
• The top 10 BDCs hold ~60% of total BDC assets, so ARCC + the rest of the top 10 is effectively "the sector" for any benchmark/comparison chart.

If you want the full 46-name universe ranked by total assets or market cap (rather than net assets), I can pull the complete table.

Good question — this is essentially the full map of "packaged investment vehicles" vs. operating companies. Here's the landscape organized by what the vehicle actually does, with BDCs placed in context.

1. Direct credit / lending vehicles (BDC's immediate family)

These are the closest relatives to BDCs — pooled vehicles that lend or buy debt.

2. Real assets vehicles

3. Equity-oriented pooled vehicles (beyond plain ETFs/mutual funds)

4. Hybrid / derivative / structured vehicles

5. Pass-through tax structures (the "wrapper" dimension)

This matters because BDCs, REITs, MLPs, and royalty trusts all share a common DNA: pass-through taxation + mandatory high distributions.

6. Insurance-linked and other "financial" vehicles

The clean mental framework for a slide

If you're mapping the landscape, the cleanest two-axis cut is:

X-axis — what it invests in: - Equity (public, private, venture) - Debt/credit (senior loans, subordinated, distressed, structured) - Real assets (property, infra, commodities) - Hybrid/derivatives

Y-axis — how the wrapper works: - Liquid & exchange-traded (ETF, CEF, MLP, mREIT, BDC) — marked daily or quarterly - Semi-liquid (interval fund, tender-offer fund) — limited periodic redemptions, NAV marks - Illiquid / closed-ended (private credit, PE, VC, hedge fund LP) — locked capital, LP interests

A simple way to position ARCC/BDCs: BDCs are the publicly traded, retail-accessible wrapper on "private credit" — the liquid tip of a much larger illiquid direct-lending market ($550B+ in BDC assets vs. ~$1.5–2T+ in private credit broadly).

Want me to turn this into a one-chart landscape (a 2×2 or bubble chart with BDCs, private credit, CLOs, REITs, MLPs, CEFs plotted by liquidity × size × yield)?

Here's the same landscape, now split cleanly into exchange-traded (liquid, ticker, daily marks) vs. non-traded (illiquid, LP/subscription, periodic marks) — with the "semi-liquid" hybrids flagged in their own bucket.

A. Exchange-traded (daily ticker, daily liquidity)

B. Non-traded (no ticker, locked capital or subscription/redemption)

C. Semi-liquid (the growing middle ground — key trend)

This is the fastest-growing category and the one worth highlighting in a slide, because it's blurring the traditional traded/not-traded line.

These sit between traded and non-traded: they hold illiquid assets (private loans, real estate, PE) but offer limited periodic redemptions at NAV.

The one-axis summary (for a chart)

Traded (daily ticker + daily/quarterly marks): BDC, CEF, ETF, mutual fund, REIT, mREIT, MLP, royalty trust/streamer, SPAC, preferred/baby bond, buffered ETF.

Non-traded (locked or subscription-only): Private credit, PE, VC, hedge funds, real estate/infra funds, private REITs, private BDCs, CLO equity (mostly), fund-of-funds, ILS.

Semi-liquid (the blurred boundary): Interval funds, tender-offer funds, perpetual private-credit funds, redeemable private REITs (BREIT/SREIT).

The key insight for your framework: BDCs are really the liquid, exchange-listed access point into what is overwhelmingly an illiquid asset class (direct lending/private credit). The private credit fund and the publicly traded BDC often lend to the same kind of companies — the difference is purely the wrapper and liquidity. That's why a PE investor thinks about ARCC in two ways at once: (1) as a liquid equity security with a ticker, and (2) as a mark-to-market proxy for a large illiquid private-credit book. Most of the "new" products (interval funds, BREIT-style REITs, CP programs) are attempts to offer the illiquid asset class with more liquidity — while the underlying assets haven't changed.

Want me to build a liquidity-vs-structure scatter/chart from this?

Here are the top ~2 players (with tickers) for each category. Where a category is private (no public ticker) or mostly illiquid, I've flagged the listed/accessible proxy instead.

A. Exchange-Traded

BDC - ARCC (Ares Capital) — largest - OBDC (Blue Owl Capital) — #2 by NAV

Equity ETF - SPY (SPDR S&P 500) - IVV (iShares Core S&P 500)

Closed-End Fund (CEF) - GOF (Guggenheim Strategic Opportunities) - PDI (PIMCO Dynamic Income) / BST (BlackRock Science & Tech)

Equity REIT - PLD (Prologis) — industrial - AMT (American Tower) — towers

mREIT - NLY (Annaly Capital) — agency MBS - AGNC (AGNC Investment) — agency MBS

MLP - EPD (Enterprise Products) - ET (Energy Transfer)

Royalty / Streaming - FNV (Franco-Nevada) — gold - WPM (Wheaton Precious Metals)

Royalty Trust - PBT (Permian Basin Royalty Trust) - SBR (Sabine Royalty Trust)

Leveraged Loan / High-Yield ETF - BKLN (Invesco Senior Loan) - HYG (iShares High Yield) / SRLN (SSGA Senior Loan)

Preferred / Baby Bond - PFF (iShares Preferred ETF) — vehicle - (ARCC and peers issue their own baby bonds, e.g., ARCC kids trade OTC)

CLO (traded tranche proxy) - JBBB (Janus Henderson B-BBB CLO ETF) - CLOZ (PIMCO CLO) / AAA (AXS First Priority CLO ETF)

SPAC - Mostly de-SPAC'd now; historically e.g., Pershing Square Tontine (PSTH) — largely wound down

Buffered / Options ETF - BUFR (FT Vest Laddered Buffer) - JEPI (JPMorgan Equity Premium Income) — covered call

Commodity ETF - GLD (SPDR Gold) - USO (United States Oil) / SLV (iShares Silver)

B. Non-Traded (private — no trading ticker on the vehicle itself)

Private Credit / Direct Lending - No ticker on the fund → listed manager: ARES (Ares Management), BX (Blackstone), OWL (Blue Owl)

Private Equity - Listed manager proxy: BX (Blackstone), KKR, APO (Apollo), CG (Carlyle)

Venture Capital - Listed proxy: BX/SL via BDCs; historically ICON/none pure → Sequoia/Andreessen are private. Closest listed VC debt: HTGC (Hercules)

Hedge Fund - Listed proxy: KKR/APO/BX for credit/multi-strat; BROOKFIELD (BN); MAN (Man Group) is a listed hedge fund manager

Real Estate Private Fund / Non-Traded REIT - Non-traded funds no ticker → listed BREIT-style are private; closest listed: BX (manager), STWD (Starwood Property Trust, a mortgage REIT)

Private BDC (non-traded) - Blackstone Private Credit Fund (BCRED) — no ticker (tender-offer); BXSL is its listed sibling

Infrastructure Fund - Listed proxy: BIP (Brookfield Infrastructure Partners), GIP-style via BAM/BN

Timberland / Farmland - WY (Weyerhaeuser — timber REIT), LAND (Gladstone Land — farmland REIT)

ILS / Reinsurance - RGA (Reinsurance Group of America), RNR (RenaissanceRe) — listed insurers with ILS/cat exposure

C. Semi-Liquid

Interval Fund - Mostly no ticker (registered but not listed). Examples via managers: Ares Strategic Income Fund (ASIF), Blue Owl Credit Income (OCIC) — no exchange ticker

Tender-Offer Fund - Blackstone Private Credit Fund (BCRED) — no ticker - Starwood Real Estate Income Trust (SREIT) — no ticker

Perpetual Private Credit Fund - Listed manager proxy: OWL, ARES, BX

Quick-reference summary table

One nuance to flag on the slide: for the genuinely non-traded vehicles (private credit, PE, VC, hedge funds), the investable security has no ticker — so the investable proxy is the publicly listed alternative-asset manager (BX, KKR, APO, ARES, OWL, CG). That's itself an interesting investor point: buying ARES (the manager) gives you exposure to the fee stream of the private-credit boom, while buying ARCC (the BDC) gives you exposure to the loan book itself. Same Ares ecosystem, two completely different securities and risk profiles.

Want me to build a chart that plots these by liquidity (traded → non-traded) × where the "exposure" actually sits (the asset vs. the manager's fee stream)?

Yes — this is a really useful lens. Almost every category has a signature non-GAAP / supplementary disclosure that's the thing analysts chart, analogous to how BDCs disclose non-accruals, NAV, NII coverage, and PIK. Here's each category's "the metric you graph beyond the 3 statements."

Exchange-traded vehicles

Non-traded / semi-liquid (they still disclose — just via private reports/quarterly letters)

The deeper pattern (important for your slide deck)

There's a universal grammar here. Every investment vehicle, regardless of wrapper, discloses three families of "beyond-the-statements" data:

1. A normalized earnings metric (strips out non-cash/distortions):

   • REIT → FFO/AFFO
   • MLP → DCF
   • BDC → NII/Core EPS
   • Royalty → GEO/cash margin
   • PE → MOIC/IRR

2. A balance-sheet "health of the portfolio" metric (asset quality):

   • BDC → non-accruals, PIK, risk ratings
   • REIT → occupancy, releasing spreads
   • CLO → WARF, CCC bucket, OC cushion
   • mREIT → book value, prepayment/hedge risk
   • Insurance → combined ratio, PML

3. A distribution-sustainability metric (coverage):

   • All of them → payout ratio vs. cash earnings (AFFO payout, DCF coverage, NII coverage, UNII, distribution coverage)

Why this matters for your analysis framework: a PE/hedge fund investor doesn't actually think in "ticker categories" — they think in this three-part grammar, applied to whatever wrapper the asset sits in. That's why the ARCC deep-dive (non-accruals, NII coverage, NAV durability) is literally the identical analytical skeleton you'd apply to a REIT (occupancy, AFFO payout, NAV), an MLP (DCF coverage), or a CLO (WARF/OC).

Want me to produce a single "signature metric" comparison table/chart — one row per vehicle, with its normalized earnings metric, asset-quality metric, and coverage metric — so all categories line up side by side? That would be a strong single-slide "landscape + how to read each" exhibit.

Great catch — I left out the entire debt securities universe, which is arguably the largest category of all. Here's the debt landscape, organized the same way, and what "beyond-the-statements" data each reports.

The debt universe — types of debt instruments

A. Plain-vanilla debt securities

B. Structured credit (already touched on, but as debt)

The universal "debt grammar" — what you chart for any bond/loan

For debt, the "beyond the 3 statements" analysis has its own signature metrics, and they're remarkably uniform across all instruments:

1. The spread (risk premium) - OAS (option-adjusted spread) for bonds - Spread over SOFR/benchmark for floating loans - Spread-to-worst, yield-to-worst, yield-to-call

2. The credit/term structure - Rating (Moody's, S&P, Fitch, and DBRS/Kroll) - Duration, convexity, spread duration - Yield curve position

3. The loss metrics (the "asset quality" analog) - Default rate (by rating cohort/vintage) - Recovery rate / loss-given-default (LGD) — this is the direct analog to a BDC's non-accrual % and realized loss data - Price-to-100 (distressed = <80, deeply distressed <70)

4. The structure/quality for loans & structured credit - Covenant-lite % (a huge trend — most new loans are cov-lite, weakens recovery) - LTV / leverage multiple at issuance - WARF, OC, CCC bucket (CLOs) - PIK toggle (like BDCs — a red flag)

5. The coverage/sustainability (for bonds, this is the issuer's 3-statements ratio) - EBITDA-to-interest (interest coverage) - Debt/EBITDA (leverage) - Debt-service coverage ratio (DSCR) for real estate/structured

The key parallel to make on your slide

This is the connective tissue you were circling toward:

The profound point for a deep investor: ARCC (a BDC) is really just a leveraged loan / private-credit portfolio wearing an equity wrapper. Every "beyond-statements" metric you graph for ARCC maps one-to-one onto the metrics a credit desk uses for a bond or loan. The BDC is the securitization layer; the underlying assets are just debt. So when you build the ARCC analysis, you're fundamentally doing credit analysis — non-accrual (default), marks (price), PIK (cov-lite/structural risk) — not equity analysis.

Where debt sits in your full investment landscape

Adding "debt" to the map gives you the complete universe:

1. Operating companies — equity in a going concern (analysis = 3 statements + valuation)
2. Debt securities — cash flows with contractual priority (analysis = spread, rating, default/recovery)
3. Fluent wrappers on the above — BDCs, CEFs, CLOs, insurance (analysis = NAV + asset quality + coverage)
4. Real assets — REITs, MLPs, infra (analysis = FFO/DCF + occupancy/production + coverage)
5. Private/fund structures — PE, VC, hedge, private credit (analysis = IRR/MOIC/DPI + vintage + marks)

Almost everything in finance is one of these five, and the analysis grammar is consistent within each.

Want me to build the master "signature metric" comparison — all five families side by side, with each one's normalized-earnings metric, asset-quality metric, and distribution-coverage metric — as a single chart/table for your deck?

Short answer: the largest single debt vehicle where your analysis grammar (spread, default/recovery, PIK/cov-lite, WARF/OC, coverage) actually matters is not a listed index fund — it's Blackstone's BCRED, a non-traded private credit BDC with ~$83B in net assets (~$102B portfolio). But "debt fund" spans a few distinct buckets, and the answer depends on which slice you mean. Here are the largest non-index debt vehicles by type:

1. Largest private credit vehicles (non-index, actively managed, illiquid)

BCRED is the clear #1 single fund. It's bigger than every traded BDC and most institutional platforms. Which is ironic for your thesis: the single largest debt bucket in private credit is a non-index, non-exchange-traded vehicle — meaning the exact analysis you laid out (non-accruals, marks, PIK, coverage) is done from quarterly 10-Q filings and private letters, not daily market prices.

2. Largest actively managed liquid bond funds (open-end/index-adjacent)

The truly enormous liquid fixed-income funds are mostly index or quasi-index (Vanguard Total Bond, iShares Core Agg) — which is exactly why your question is sharp. The big active ones:

But note: these are liquid, marked daily — the spread/default analysis matters, but they're bond funds, not "portfolio of individual loans" vehicles, so the BDC-style non-accrual/PIK disclosure doesn't apply the same way.

3. Largest closed-end debt funds (CEFs — active, leveraged, exchange-traded)

These are where your grammar applies most directly among listed securities, because they're actively managed, often leveraged, and trade at premium/discount:

PDI is the largest CEF debt fund by a wide margin.

4. The manager-level view (where most of the money actually is)

If you step up from "fund" to "platform," the biggest active debt managers by credit AUM are:

The clean answer for your slide

The largest non-index debt fund where your ARCC-style analysis genuinely applies is Blackstone Private Credit Fund (BCRED) — ~$83B net assets, non-traded, perpetual BDC.

And the punchline that ties your whole investigation together: ARCC is not actually the biggest BDC — it's just the biggest traded one. BCRED is ~6x larger than ARCC's NAV, yet you can't trade it on an exchange. Your ENTIRE analytical framework (non-accruals, NAV durability, PIK, coverage, marks) applies identically to BCRED — you just read it from the 10-Q instead of a ticker, and in exchange for losing daily liquidity you get (in theory) a less volatile mark.

That's the correct way to frame the whole series of questions you've asked: the analysis is identical, the only thing that changes with the wrapper is liquidity and how the marks arrive.

Yes — and that's actually the core of the BCRED story. It's explicitly designed for retail/individual investors, not institutions. That's what distinguishes it from traditional private credit funds.

How retail investors access BCRED

Key facts about retail access:

1. Minimums are low — typically $2,500 or less (sometimes $1,000), unlike institutional private credit funds that require millions and accredited-investor status.

2. It's a "perpetual" structure — you buy shares at monthly NAV (no ticker, no exchange). You don't buy on the open market; you subscribe and can redeem quarterly, subject to limits.

3. The 5% quarterly redemption cap is the crucial risk — you can only take out 5% of NAV per quarter (and Blackstone can suspend it). This is the liquidity tradeoff retail accepts in exchange for access to private credit.

4. Who owns it: overwhelmingly individual investors via advisors. Blackstone built BCRED specifically to capture the RIA/wirehouse channel — the same retail money that historically bought non-traded REITs (which had a checkered history of high fees and illiquidity, a legacy BCRED's design was partly meant to improve on).

The retail angle, in context of your analysis

This is the most important insight for your framework: the ~$83B in BCRED is largely retail money, not sophisticated institutional capital. That flips the typical narrative:

• Institutions → private credit funds (locked 5–10 yrs, TRUE risk-bearing capacity, can sit through a cycle).
• Retail → non-traded BDCs like BCRED, OCIC, ASIF (quarterly redemptions, but holding identical illiquid loans).

Why this matters:

1. Liquidity mismatch risk — retail investors in BCRED hold illiquid loans but want quarterly exits. If retail sentiment turns (as happened in mid-2026 with the "$20B redemption rush" — BCRED alone returned $3.7B to investors in one quarter), the fund must meet redemptions from a book of loans it can't easily sell. That's the structural fragility the 5% cap exists to manage — and it's exactly the kind of thing your "liquidity tripwire" bullet in the ARCC framework points at.

2. It's the same credit risk, different owner — BCRED lends to the same kind of sponsor-backed middle-market companies as ARCC. Same non-accrual, PIK, mark-to-market dynamics. But ARCC's marks are set by the stock market daily (via price/NAV), while BCRED's marks are set by Blackstone quarterly (and are only as good as Blackstone's valuation discipline).

3. Fee awareness — retail pays ~1.25% management + 12.5% incentive fee with a 5% hurdle on BCRED, vs. ~1.5% + incentives on ARCC. Cheaper than old-school non-traded REITs, but still meaningful for a "fixed-income substitute" product.

The punchline: BCRED is essentially "ARCC's bigger, less liquid, retail-owned cousin." The same credit analysis you'd do on ARCC applies — but you can't short it, there's no daily price to express a view, and the investors who own it are the least equipped to weather a credit normalization while being structurally the most exposed to a redemption wave.

That tension — illiquid assets + retail holders + quarterly redemption option — is the single most important risk a deep investor flags when looking at the non-traded BDC complex, and it's the reason ARCC (traded, daily price, no redemption run risk) trades the way it does versus its non-traded siblings.

Here's the full PE-style due diligence framework for BCRED, using only public data (SEC 10-Q/10-K, N-CSR, and the tender/redemption disclosures). It's the identical skeleton as the ARCC analysis — because the asset class is the same — but three new risk lenses get added that don't exist for ARCC: redemption/liquidity mismatch, valuation discretion (no market price), and the retail-capital-base fragility.

1. Portfolio credit quality (highest signal — same as ARCC)

• Non-accrual rate at amortized cost vs. at fair value, and the gap between them (a widening gap = marks lagging reality).
• Trends of the specific largest non-accruals and watch-list names (like the AmeriVet/BMG/OTG names at ARCC — BCRED's own list is in the 10-Q).
• Internal risk ratings (grade 1–5) and migration over time.
• TTV/equity cushion beneath positions, LTV on new originations.
• PIK income as % of interest income — the cash-earnings-quality red flag.
• First-lien vs. second-lien vs. subordinated/equity mix.

2. Marks and NAV durability (BIGGER deal here than ARCC — no market price)

• NAV/share trend — is it falling (like ARCC's $19.94 → $19.35)?
• Realized vs. unrealized gains/losses each quarter, and whether unrealized losses are converting to realized.
• Valuation discipline — since there's no daily market price, the NAV is entirely the manager's subjective fair value. A PE analyst would:
  • Compare BCRED's marks on shared names vs. ARCC/other BDCs lending to the same borrower (cross-walk marks).
  • Look for "mark smoothing" — NAV that barely moves quarter-to-quarter in a volatile credit tape.
  • Test marks vs. where comparable loans trade in the syndicated/CLO market.

3. The redemption/liquidity mismatch (the BCRED-specific killer metric)

This is the analysis that only exists for non-traded vehicles, and it's the #1 thing a PE person would focus on:

• Redemption requests vs. fulfilled each quarter (the "% gated" ratio). In Q1 2026, $83B BCRED had ~$3.7B+ of redemption requests — did everyone get out, or was the 5% cap hit?
• The redemption queue — is there a backlog of unfulfilled redemption requests building? (This is the run-on-the-bank indicator.)
• Liquidity coverage — cash + available credit facilities + liquid assets vs. the next few quarters of expected redemption demand.
• The 5% cap and whether management is waiving or enforcing it (Blackstone famously declined to cap withdrawals at 5% in one quarter, paying out $3.7B — that's a strategic signal: defending the retail franchise at the cost of the balance sheet).
• What they sold to fund redemptions — did they sell the good loans (adverse selection, "selling the crown jewels") to meet retail outflows?

4. Earnings quality and distribution coverage

• NII per share vs. dividend/distribution per share (coverage ratio) — is it covered, and by cash NII (excluding PIK), not just GAAP NII?
• Distribution yield vs. NAV total return — is the ~9.5% yield being earned, or partly a return of capital? (Check N-CSR for "return of capital" in distributions.)
• Spillover income / undistributed earnings cushion.

5. Balance sheet, leverage, and funding

• Debt/equity ratio (regulatory 2:1 limit for BDCs; where is BCRED?).
• Funding mix: revolvers, term debt, CLOs, asset-backed facilities — and the maturity ladder (can they refinance if redemptions + maturities hit at once?).
• Interest rate sensitivity — floating-rate assets vs. floating-rate liabilities (match/mismatch on SOFR).

6. Origination, deployment, and vintage quality

• New commitments vs. repayments/exits each quarter — is the book growing or shrinking?
• Vintage analysis — are the loans originated in 2021–2022 (peak-cycle, low spreads, high leverage) underperforming vs. 2023–2025 vintages? This is the single most predictive PE credit metric.
• Weighted average spread/yield on new vs. exited loans.
• Concentration: largest single borrower as % of portfolio, top 10, industry clusters (software, healthcare, etc.).

7. Fees and alignment (retail sensitivity)

• Total expense ratio: management fee (~1.25%) + incentive fee (12.5% over 5% hurdle) + other — what's the all-in drag vs. ARCC and peers.
• Incentive fee design — is the capital-gains incentive fee crystalizing in a way that misaligns (fees paid on unrealized gains that later reverse)?
• Distribution of the manager's economics: does Blackstone earn fees regardless of retail outcome?

8. The retail capital-base fragility (BCRED-unique)

• Investor mix — how much is "hot" RIA/wirehouse retail money vs. sticky institutional?
• Distribution channel concentration — if a wirehouse or broker-dealer stops selling, does the fund stop growing (and then face redemption pressure with no new inflows to offset)?
• The "funding death spiral" test — historical non-traded REIT analog: when inflows stop → cannot meet redemptions → NAV gets marked down → more redemptions → forced asset sales at bad prices. Map BCRED's position on that spiral.

9. Scenario / stress test (the PE person's synthesis)

A PE analyst would build three scenarios on BCRED specifically around liquidity, which ARCC doesn't face:

The single most important question the PE person asks: "If retail sentiment turns and redemptions press the 5% cap while defaults are rising, does BCRED have to sell its best loans to fund the exits of its worst-informed holders — and what does that do to the NAV of everyone who stays?"

The one-paragraph synthesis for your deck

BCRED is the same credit book as ARCC, but with a structural liquidity put option embedded in the hands of retail holders who will exercise it at exactly the wrong time. Public data lets you track this better than most realize: the non-accrual and PIK data are in the 10-Q, but the unique BCRED risk shows up in the redemption request vs. fulfillment disclosure, the NAV trend vs. comparable marks, and the distribution's return-of-capital component — none of which the daily market price can tell you because there isn't one. The PE framework is identical to ARCC's, plus one extra lens: the liability side (who owns it and when they can leave) matters as much as the asset side.

Want me to pull BCRED's actual current public numbers (NAV trend, non-accruals, redemption requests, coverage) and build the comparison against ARCC?

Yes — essentially all of it is public, because BCRED is an SEC-registered BDC. It files the exact same documents as ARCC. Here's the precise map of what's public and where each item lives.

What BCRED files (all public, on SEC EDGAR)

Mapping each analysis point to the public source

The three honest caveats (where "public" gets murky)

1. Investor-concentration granularity. You can see the structure (retail share classes, wirehouse distribution) in the prospectus/N-2, but you cannot see the exact investor mix or channel concentration from public filings. Blackstone discloses redemption amounts, not who is redeeming. This is the one genuinely private data point in the framework.

2. Redemption queue transparency. The 10-Q shows redemption requests received vs. fulfilled after the fact. It does not show you in real-time how big the pending backlog is between filing dates. You get quarterly snapshots, so a redemption run is only visible with a quarter's lag — important for someone monitoring the "death spiral" trigger.

3. Marks are manager-set, not market-set. The NAV/marks are "public" in the sense that they're disclosed, but they're Blackstone's own subjective valuation — there is no independent market price to cross-check against. So the quality of the data is public, but the integrity of the marks is exactly the thing a PE analyst must independently stress-test (e.g., vs. ARCC/CLO marks on shared names).

Bottom line for your deck

Everything you need to run the BCRED PE-style framework is public — via the same 10-Q/10-K/N-CSR filings ARCC uses — with two exceptions:

1. Real-time granular redemption/investor data (you get quarterly lagged snapshots, not live queues), and
2. The independence of the marks (public but self-interested — a PE person treats BCRED's NAV as a claim to verify, not a fact, precisely because there's no market price).

That last point is the cleanest one-line framing for a slide: ARCC's marks are audited by the market every day; BCRED's marks are audited by the market never — which is why the PE-style analysis of BCRED is, at its core, an exercise in independently validating a NAV you cannot independently price.

Want me to actually pull BCRED's latest public numbers and run the comparison against ARCC — non-accruals, NAV trend, coverage, redemption activity — so you have the concrete data behind the framework?

The answer is BREIT — Blackstone Real Estate Income Trust — with ~$57B in net asset value (up to ~$104B total asset value). It is the single largest non-traded, mostly-retail vehicle in the world, and its shares are not on Yahoo Finance — there is no ticker and no market price; the "price" is a sponsor-calculated monthly NAV.

The answer, precisely

Why BREIT beats BCRED for your exact question

Your question was: largest non-traded fund, any asset class, mostly retail, marks not on Yahoo Finance.

• BCRED = non-traded debt/private credit — ~$83B investments, but net assets (the actual equity) ~$48B.
• BREIT = non-traded real estate equity — ~$57B of net asset value, which is more investor equity than BCRED.

On a pure "largest single fund where marks don't trade" basis, BREIT is the biggest when measured by net asset value (the investor capital), and it's the most famous case study — it's the vehicle that defined the category's central risk.

The three facts that make BREIT the canonical answer

1. No ticker, no Yahoo Finance. You cannot see BREIT's price anywhere on a public quote service. The only "price" is the NAV Blackstone publishes monthly (~$14.53/share Class I as of mid-2026). There's no bid/ask, no volume, no daily mark.

2. Mostly retail. BREIT was explicitly built for individual investors through the advisor channel — "the dentist and the small family office," as opposed to institutions (who go into Blackstone's separate institutional real estate funds).

3. Its marks are entirely manager-set, and they've been disputed. This is the single most important detail for your thesis: independent analysts (Chilton Capital, MacKenzie Capital) have argued BREIT's stated ~$14.25 NAV overstates fair value by as much as a third, citing ~60% leverage and the 16-month redemption gate (Nov 2022–Feb 2024, when it couldn't honor full redemptions). In late 2025 there was even a secondary-market print at a ~4.5% discount to NAV — the market's way of saying the NAV is too high, in the absence of a daily quote.

The complete non-traded retail universe (context for your slide)

Across all asset classes, the non-listed retail complex is roughly:

So the answer to "what else is out there, not on Yahoo Finance, mostly retail, and huge" is: BREIT (real estate) and BCRED (credit) are the two flagship names, with ~$105B of investor capital between just those two — and neither has a ticker.

The punchline that ties everything together

You've now mapped the full spectrum:

• ARCC — traded, daily market price, marks audited by the market every day.
• BCRED — non-traded, quarterly sponsor NAV, no market price (credit).
• BREIT — non-traded, monthly sponsor NAV, no market price (real estate), and the single largest of the three — yet it's the one retail investors can least independently price.

The deep-investor insight: the largest retail investment products in America's fastest-growing asset classes are exactly the ones with no public price. Both BCRED and BREIT publish NAVs that are self-interested estimates, and the entire PE-style analysis — on both — reduces to the same question you asked at the very start about ARCC: is the mark real, and can the holder actually get out at that mark when they need to? For ARCC the market answers that every day; for BREIT and BCRED, nobody answers until you try to redeem.

Short answer: partially — the quarterly snapshots are easy; the continuous historical series is harder. Here's the precise lay of the land, because "historical NAV/marks" is actually three different data problems with very different levels of difficulty.

The three things "historical NAV/marks" could mean

1. Historical monthly/quarterly NAV per share — MEDIUM (fragmented but public)

For both BREIT and BCRED, the NAV/share at each reporting date is public, but you have to stitch it manually:

Bottom line: getting a historical NAV is easy. Getting a clean, continuous monthly series from 2017→2026 in one download is not — you'll hand-assemble it from the sponsor's performance page or filings.

2. The portfolio-level marks (per-asset valuations) — HARD

This is where it gets genuinely difficult:

• BREIT's portfolio property marks are only disclosed in aggregate/high-level form. You get occupancy, leverage, same-store NOI, cap rates — but not property-by-property marks back in time.
• BCRED's loan-level marks (cents on the dollar per loan, like the ARCC non-accruals) ARE in the 10-Q Schedule of Investments — but only as point-in-time snapshots, and pulling a multi-quarter history of each loan's mark requires parsing dozens of XBRL/HTML filings, which almost nobody does free.

This is the real friction. A PE person can see the current marks easily, but building the mark-to-mark migration (how each loan's value changed quarter over quarter, the vintage loss curves, the "mark smoothing" evidence) is manual, filing-by-filing work. That's exactly the analysis that matters for BREIT/BCRED (because there's no market price), and it's exactly the analysis that's hardest to get in clean historical form.

3. Independent/third-party marks (the "real" NAV) — VERY HARD, largely not free

The single most valuable data point — what an independent party thinks the NAV actually is — is almost never public and never continuous:

Key insight for your thesis: the cleanest free signal that BREIT/BCRED's marks are wrong isn't a historical NAV series at all — it's the discount at which the traded cousins (ARCC, public BDCs) trade to their own NAV. When public BDCs sit at 18–20% discounts to NAV, that's the market pricing the identical illiquid loans at a discount the non-traded vehicles won't mark down. That's a "mark" you can chart for free, continuously, on Yahoo Finance — it just requires the interpretive step of saying "ARCC's market price is the mark BCRED's NAV should reflect."

The clean summary table for your slide

The honest bottom line for a deep investor

The NAV history is technically public, but it's not convenient — and, more importantly, it's the wrong data to trust.

A PE person doesn't spend their time compiling BREIT's monthly NAV table. They spend it on the marks, because for a non-traded vehicle the NAV is a claim the sponsor makes, not a fact the market confirms. And the mark-level data — the dollar values per loan/property over time — is precisely the layer that is public in form (in the 10-Q schedule) but effectively private in practice, because assembling the multi-period history requires cleaning dozens of filings.

So the asymmetry is: it's easy to get BREIT/BCRED's NAV, and hard to verify it. For ARCC, the opposite — easy to verify (the market prices it daily), and the NAV is just one input. That's the whole game in one sentence, and it's why a sophisticated investor treats the non-traded vehicle's mark as the question, not the answer.