Q1 2026 Balance Sheet Stress Report

Study Summary

Negative equity does not make the classical debt-to-equity ratio mathematically undefined in every case. With negative equity and positive interest-bearing debt, division gives a negative ratio that should not be ranked beside ordinary positive-equity leverage multiples. With zero interest-bearing debt and negative equity, D/E is zero, while the equity base remains non-comparable. The ratio is mathematically undefined when equity equals zero. The study therefore places zero- and negative-equity firms in Regime 3, where conventional D/E screening is unreliable without examining the underlying balance-sheet mechanism.

Consumer Discretionary contributes 11 of the 27 Regime 3 firms reported in the paper. Repurchases can help explain negative equity, but the mechanism needs company-level checks. HCA Healthcare’s stockholders’ deficit attributable to the parent was about $0.93 billion at December 31, 2021 and $6.03 billion at December 31, 2025, as shown in the 2022 comparative balance sheet and 2026 comparative balance sheet. The later filing also reports substantial repurchases. This retrospective check does not identify debt buildup, buybacks, or operating weakness as the sole cause; that requires a reconciliation of equity changes, cash flows, and debt terms.

The paper also discusses Cathcart, Dufour, Rossi, and Varotto’s 1.24-percentage-point annual default-probability gap between the highest and lowest leverage quartiles for large European firms. That estimate is a more relevant reference point than the authors’ 2.87 pp SME result when discussing a large-company universe, but it is not a direct estimate for S&P 500 constituents. The macro comparison uses SEC EDGAR XBRL and FRED observations covering 2021 through April 2026.

Key Findings

• The paper reports 27 negative-equity firms in its April 2026 sample of 396 S&P 500 non-financial constituents; the full original sample has not been independently reproduced here. The framework classifies 323 firms as Regime 1 (Normal), 46 as Regime 2 (Thin), and 27 as Regime 3.
• Consumer Discretionary contributes 11 of the 27 Regime 3 firms, or about 41%, despite representing roughly 12% of the non-financial study universe.
• A conventional D/E screen can fail or produce misleading classifications when equity is zero or negative. For many Consumer Discretionary firms in the sample, accumulated repurchases appear to be an important part of the explanation, rather than immediate operating distress.
• Cathcart et al. (2020) report a 1.24 pp large-firm gap and a 2.87 pp SME gap across leverage quartiles. The large-firm result is the closer comparison, but differences in geography, period, sample construction, and model design limit direct transfer to the S&P 500.

In practice, the ratio becomes useful only after you check the equity denominator and understand how it got there.

Data & Methodology

The paper describes financial statement data aggregated from SEC EDGAR XBRL endpoints using the latest available 10-Q or 10-K filing for each of 396 S&P 500 non-financial constituents. The paper reports a median balance-sheet period-end of December 31, 2025; the original row-level dates have not been reproduced here.

Table 3.1 and Appendix A.2 of the linked version 1.0 PDF list five FRED series: DGS10 (10-year Treasury yield), DGS3MO (3-month Treasury yield), DFF (effective federal funds rate), T10Y2Y (10-year minus 2-year Treasury spread), and BAA10Y (BAA yield minus the 10-year Treasury yield). The table starts at April 21, 2021 and labels its closing observations April 16/17, 2026. An October 19, 2026 check of fresh official FRED CSV downloads reproduced all five reported start values and changes: DGS10 +275 bps and BAA10Y −30 bps through April 16; T10Y2Y −87 bps through April 17; DGS3MO +367 bps and DFF +357 bps at either closing date. The table therefore combines closing dates rather than using one common endpoint. This is a current-download check, not verification of the data vintage available at the April 20, 2026 publication cutoff.

Full endpoint documentation, User-Agent declarations, series definitions, and reproducibility notes are provided in the PDF. The broader site methodology is available at thefinsense.io/methodology.

Section 5.6 describes three supporting CSV files: a 396-row SEC aggregation, a 27-firm five-year Regime 3 trajectory, and a five-series FRED time series. The paper says they are available on request through thefinsense.io/contact. The checks below compare the published documentation and its arithmetic; they do not rerun the company-level CSV analysis.

What still needs reconciliation

• Coverage: The earlier landing-page summary stated 97% coverage. The dated eligible-universe roster and denominator have not been reconciled here, so that percentage is no longer presented as verified coverage. The reported sample remains 396.
• Balance-sheet period-ends: The five groups in PDF Section 5.2 contain 294, 27, 23, 24, and 3 firms. They sum to 371, leaving 25 of the reported 396 unexplained in that breakdown. This is a documentation gap; it does not establish that 25 dataset rows are missing or should be excluded.
• YUM, same-period comparison: The 2025 Form 10-K balance sheet (page 61) reports shareholders’ deficit of $7,325 million and total assets of $8,197 million at December 31, 2025. E/A is -7,325 / 8,197 = -0.8936196, rounded to -0.894, rather than the -0.916 shown in Table 2.3 and Appendix B. YUM remains in Regime 3. The original extraction code and CSV are needed to establish the cause of the discrepancy.
• FRED list: This page previously substituted BAMLC0A0CM, a corporate option-adjusted spread, for DGS3MO. The list above now matches the PDF. Fresh official downloads now reproduce the five endpoint changes as described above. The study’s original CSV and retrieval log remain needed to establish its exact original data vintage and date-selection procedure.

Interpretation Limits

• This is a dated balance-sheet snapshot, not a real-time screen. Constituents, filings, equity balances, rates, and spreads change after the measurement window.
• Negative book equity is an accounting condition. It is not, by itself, proof of insolvency, default risk, or financial strength.
• The Cathcart et al. estimates come from European firms observed from 2005 to 2015. They provide context, not an S&P 500-specific default model.
• The observed combination of higher Treasury yields and narrower BAA spreads is consistent with several explanations. It does not, by itself, establish that maturity management caused the spread behavior.

Treat the results as a research snapshot and screening aid, not as a current buy-or-sell signal.

Citation

For citations and permanent links, use the DOI above.

Referenced Works

1. Beaver, W. H. (1966). Financial Ratios as Predictors of Failure. Journal of Accounting Research, 4, 71-111.
2. Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589-609.
3. Ohlson, J. A. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1), 109-131.
4. 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. DOI

These studies provide the academic background; the company classifications come from the SEC and FRED data described above.

License & Permanent Identifiers

The working paper is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Redistribution and adaptation are permitted with appropriate credit. This license does not override external data terms; the BAA10Y series notes carry separate source-rights notices.

• Zenodo DOI: 10.5281/zenodo.19674351
• SSRN abstract ID: 6614679

The DOI is the permanent citation target, while SSRN provides a second discovery page.

Retail Investor Interpretation

The companion analysis explains how negative equity affects common stock-screening rules and why investors should identify the balance-sheet mechanism before treating a Regime 3 firm as distressed.