27 S&P 500 Firms Report Negative Book Equity: Q1 2026 Analysis
Key Takeaways
- 27 firms in Regime 3 (negative book equity) out of 396 S&P 500 non-financial constituents; 323 in Regime 1 (Normal), 46 in Regime 2 (Thin).
- Consumer Discretionary concentration: 11 of 27 Regime 3 firms (41%) come from this one sector; 23% of the Consumer Discretionary sector itself sits in Regime 3.
- Two-track explanation: most Consumer Discretionary firms reach negative equity via buybacks (LOW, SBUX, MCD, YUM, DPZ); HCA Healthcare’s 5-year trajectory shows genuine leverage buildup (−$0.93B in FY21 → −$6.03B in FY25).
- Cathcart et al. (2020) applied correctly: the relevant large-firm benchmark is a 1.24 percentage point annual default-probability gap across the leverage quartile range — not the 2.87 pp figure, which applies to SMEs only.
- Macro backdrop: 10-year Treasury yield rose 275 bps over 5 years; BAA credit spread tightened 30 bps. The rate shock has not yet translated into default-rate stress for large-caps.
TheFinSense Original Finding
27 of 396 S&P 500 non-financial firms (6.8%) report negative stockholders’ equity on their most recent 10-Q or 10-K filing. Consumer Discretionary contributes 11 of those 27 firms (41% of Regime 3; 23% of the Consumer Discretionary sector itself). The standard debt-to-equity ratio is mathematically undefined or misleading for this cohort, and applying Cathcart et al.’s (2020) SME coefficient of 2.87pp to S&P 500 constituents overstates leverage sensitivity by approximately 2.3×. The correct large-firm benchmark is 1.24pp.
The Regime Problem
Most retail investment courses teach the debt-to-equity ratio as a single number: total liabilities divided by stockholders’ equity. Lower is safer. Higher is riskier. Above a certain threshold — the numbers vary by textbook — the company is flagged as over-leveraged.
This framing quietly assumes that the denominator behaves. It usually does. Among the 396 S&P 500 non-financial constituents studied here, 323 firms (81.6%) report stockholders’ equity that exceeds 20% of total assets. For those firms, the D/E ratio has a clear economic meaning, and it moves smoothly as leverage changes.
But for 73 of these firms — nearly one in five — the denominator is either small enough to distort the ratio or mathematically broken. The ratio does not work the way the textbook expects. Screening by D/E alone, without checking what regime the firm is in, produces systematic classification errors. This study documents the size of that problem for the Q1 2026 Interim Read.
The Three-Regime Framework
TheFinSense’s three-regime framework classifies each firm by the ratio of stockholders’ equity to total assets (E/A):
- Regime 1 (Normal): E/A > 0.20. The D/E ratio is economically meaningful and moves smoothly with leverage changes. 323 firms (81.6%).
- Regime 2 (Thin): 0 < E/A ≤ 0.20. Equity is positive but small relative to assets; D/E is highly sensitive to small balance-sheet changes. 46 firms (11.6%).
- Regime 3 (Broken): E ≤ 0. Equity is zero or negative; D/E is undefined or produces mathematically misleading values. 27 firms (6.8%).
The 0.20 threshold separating Regime 1 from Regime 2 is a methodology parameter pre-registered in TheFinSense’s methodology documentation — it is not tuned to the Q1 2026 sample. The Regime 3 boundary (E ≤ 0) is a mathematical fact, not a tunable threshold.
Regime 3: The 27 Firms, Ranked
Ranked by absolute negative stockholders’ equity, the Regime 3 list is concentrated at the −$5B to −$10B range. The top five — Philip Morris (−$9.99B), Lowe’s (−$9.92B), TransDigm (−$9.27B), Starbucks (−$8.39B), Yum! Brands (−$7.50B) — together account for roughly $45B of cumulative negative book equity.
Looking at the extremity of the equity-to-assets ratio instead of absolute dollars reveals a different ordering. Domino’s (DPZ) has an E/A ratio of −2.27, meaning its total liabilities are more than three times its total assets — a structure produced by decades of sustained franchise-model buybacks. Verisign (−1.63), Fair Isaac (−0.98), and Yum! Brands (−0.92) round out the extreme tail.
The full table, magnitude leaderboard chart, and 5-year trajectory for each firm are in the full study PDF linked above.
Why Consumer Discretionary Concentrates the Story
The sector breakdown of Regime 3 is not uniform. Consumer Discretionary contains 11 of the 27 firms — a 41% share of Regime 3 drawn from a sector that is only 12% of the non-financial universe. Four sectors (Communication Services, Energy, Materials, Utilities) contain zero Regime 3 firms.
The Consumer Discretionary list reads like a roster of franchise operators and asset-light travel platforms: AutoZone, Booking Holdings, Domino’s, Hilton, Lowe’s, Marriott, McDonald’s, O’Reilly Automotive, Starbucks, Wynn Resorts, and Yum! Brands. These companies share three properties. First, they generate substantial free cash flow. Second, their operating models do not require heavy balance-sheet assets (franchises, booking platforms, brand licensees). Third, they have returned cash to shareholders aggressively over many years via share buybacks. Buybacks reduce the common stock and additional paid-in-capital components of equity. When buybacks cumulatively exceed retained earnings, stockholders’ equity goes negative. This is a capital-return engineering outcome, not distress.
Classical distress screens — Altman’s Z-score, Ohlson’s O-score — were not designed to distinguish between buyback-driven negative equity and leverage-driven negative equity. Applying them without reframing misclassifies the Consumer Discretionary cohort as distressed when they are, operationally, among the most profitable companies in the index.
HCA: The Villain Arc (Not All Negative Equity Is a Buyback Artifact)
HCA Healthcare is the counter-example. Its 5-year stockholders’ equity trajectory reads as follows: −$0.93B (FY2021), −$2.77B (FY2022), −$1.77B (FY2023), −$2.50B (FY2024), −$6.03B (FY2025). The equity hole has deepened by more than $5B across the observation window, with total liabilities rising while assets remain roughly stable. That pattern is more consistent with leverage buildup than with capital-return engineering.
The practical implication: once a firm enters Regime 3, the mechanism matters. A retail investor who cannot distinguish LOW from HCA will make different mistakes in different directions. This is why this study reports Regime 3 firms alongside their 5-year equity trajectories, and why the full PDF includes a per-firm trajectory appendix.
Using Cathcart 2020 Correctly: 1.24pp, Not 2.87pp
Cathcart, Dufour, Rossi, and Varotto (2020) analyze 6.2 million firm-year observations across six European countries between 2005 and 2015. They estimate a discrete hazard logit model and report two headline figures for the annual default-probability gap between the top and bottom leverage quartiles: 1.24 percentage points for large firms and 2.87 percentage points for small and medium-sized enterprises (SMEs, defined by the European Commission as firms with total assets under €43 million).
The S&P 500 is a large-firm universe — every constituent dwarfs the SME threshold by orders of magnitude. The correct benchmark for S&P 500 analysis is therefore the 1.24 pp large-firm figure. Applying the 2.87 pp SME coefficient to S&P 500 constituents overstates leverage-to-default sensitivity by approximately 2.3×.
Both figures are 1-year (annual) default probability differences derived from a regression-predicted quartile comparison. They are not marginal coefficients on a fixed leverage change, nor observation-period totals. Earlier TheFinSense coverage that implied the alternative marginal-effect reading of these numbers will be noted for correction in our editorial corrections log.
Macro Backdrop: Rate Shock With Credit Calm
The Federal Reserve Economic Data (FRED) series show a substantial rate regime shift over the 5-year window 2021-04-21 to 2026-04-16. The 10-year Treasury yield rose 275 basis points (from 1.57% to 4.32%). The Fed Funds Rate rose 357 basis points (from 0.07% to 3.64%). The 10Y-2Y yield curve flattened by 87 basis points, from 1.42 to 0.55.
Against that backdrop, the BAA corporate credit spread over 10-year Treasuries has tightened 30 basis points, from 2.01 to 1.71. The apparent puzzle — a large rate shock coinciding with credit-spread compression — is consistent with investment-grade issuers having extended debt maturities during the 2020–2021 low-rate window, which has insulated large-cap balance sheets from immediate refinancing pressure. For the Regime 3 cohort, the implication is that negative book equity has not yet translated into elevated realized default rates. This matches the Cathcart et al. (2020) large-firm prediction.
How to Read This as a Retail Investor
If you are screening S&P 500 stocks by debt-to-equity ratio, three practical adjustments follow from this study.
First, check the denominator before trusting the ratio. If E/A is at or near zero, or negative, the D/E ratio does not mean what your stock screener thinks it means. You are in Regime 2 or 3, not Regime 1, and you need a different screen.
Second, for Regime 3 firms, separate the mechanism. Ask whether the negative equity comes from buybacks (the Consumer Discretionary track) or from leverage buildup (the HCA track). The two require different analytical tools: capital-return sustainability analysis for the first, traditional distress screening for the second.
Third, when referencing academic leverage-to-default research, match the sample to your universe. Cathcart et al.’s 1.24 pp applies to large firms. The 2.87 pp figure applies to SMEs — European firms with under €43 million in total assets. The S&P 500 is not an SME universe.
FAQ
Why exclude Financials and Real Estate from this study?
Bank holding companies and REITs use capital structures that the 3-regime framework cannot meaningfully classify. Banks are regulated under Basel-type Tier-1 capital rules, where “equity” has a specific regulatory definition distinct from book stockholders’ equity. REITs distribute most of their taxable income by design, so their retained earnings and book equity patterns differ structurally. Both sectors require their own frameworks.
Is negative book equity the same as bankruptcy risk?
No. Of the 27 Regime 3 firms identified here, most are highly profitable, generate substantial operating cash flow, and have no short-term liquidity concerns. Negative book equity is an accounting condition, not a solvency condition. It does, however, make the classical D/E ratio inapplicable, which is the core point of this study.
Why is the study called “Q1 2026 Interim Read” when the data is mostly from 2025?
As of April 20, 2026, most large US firms have filed their FY2025 10-K (year-end December 2025) but have not yet filed their Q2 2026 10-Q (the Q2 2026 10-Qs are typically filed in July–August 2026). “Interim” acknowledges this filing timing asymmetry. The median filing period-end in this dataset is December 31, 2025.
How does this study cite the 1.24pp and 2.87pp Cathcart figures?
Both figures are reported in Table 10 of Cathcart et al. (2020) as the difference in predicted annual default probabilities between the first and fourth leverage quartiles. They are drawn from a discrete hazard logit model fitted on 6.2 million firm-year observations from Belgium, Spain, France, the United Kingdom, Italy, and Portugal over 2005–2015. Because the S&P 500 is a large-firm universe, the 1.24 pp large-firm figure is the appropriate benchmark.
Where can I get the raw data?
The three CSV datasets (SEC EDGAR 396-row aggregation, 27-firm 5-year Regime 3 trajectory, and 5-series FRED daily time series) are available on request via thefinsense.io/contact/. The SEC EDGAR XBRL endpoints and FRED series IDs listed in the reproducibility appendix of the full study PDF allow independent replication.
References
- Beaver, W. H. (1966). Financial Ratios as Predictors of Failure. Journal of Accounting Research, 4, 71–111. Stanford GSB
- Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589–609.
- Ohlson, J. A. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1), 109–131.
- Cathcart, L., Dufour, A., Rossi, L., & Varotto, S. (2020). The Differential Impact of Leverage on the Default Risk of Small and Large Firms. Journal of Corporate Finance, 60, 101541. CentAUR PDF
Educational quantitative analysis based on published data. Not investment, tax, or legal advice. Consult a licensed professional before acting on any calculation. About TheFinSense.
