Cato (CATO) Total Liabilities (2010 - 2026)
Cato's Total Liabilities came in at $255.53 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 3.5% from $264.71 million a year earlier and down 6.2% from the prior quarter.
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Analysis
Cato (CATO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cato's Total Liabilities was $264.11 million, down 8.9% from FY2025.
- Total Liabilities has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -5.2% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $290.07 million in FY2025 (-1.5%), $294.5 million in FY2024 (-9.8%), $326.55 million in FY2023 (-14.0%) and $379.57 million in FY2022 (+10.0%).
- The fiscal Q2 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q3 2025.
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2026 (growth of 14.3%), and the weakest in fiscal Q1 2024 (a decline of 14.8%).
- Business Quant data shows CATO's Total Liabilities at $272.48 million (Q1 2027), $264.11 million (Q4 2026) and $282.59 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,817.17 Bn | 2,333.87 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 311.27 Bn | 304.51 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.35 Bn | 139.89 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.47 Bn | 102.44 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.38 Bn | 58.31 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.43 Bn | 72.52 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.71 Bn | 64.30 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.59 Bn | 50.49 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.18 Bn | 33.67 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Cato | 43.77 Mn | -283.58 Mn | 55.32 Mn | 255.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 255.53 Mn |
| May 2, 2026 | 272.48 Mn |
| Jan 31, 2026 | 264.11 Mn |
| Nov 1, 2025 | 282.59 Mn |
| Aug 2, 2025 | 264.71 Mn |
| May 3, 2025 | 275.89 Mn |
| Feb 1, 2025 | 290.07 Mn |
| Nov 2, 2024 | 247.31 Mn |
| Aug 3, 2024 | 260.51 Mn |
| May 4, 2024 | 280.24 Mn |
| Feb 3, 2024 | 294.50 Mn |
| Oct 28, 2023 | 270.05 Mn |
| Jul 29, 2023 | 282.13 Mn |
| Apr 29, 2023 | 307.86 Mn |
| Jan 28, 2023 | 326.55 Mn |
| Oct 29, 2022 | 305.74 Mn |
| Jul 30, 2022 | 314.98 Mn |
| Apr 30, 2022 | 361.38 Mn |
| Jan 29, 2022 | 379.57 Mn |
| Oct 30, 2021 | 316.38 Mn |
API Access
Cato Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=CATO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CATO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();