Cato (CATO) Total Non-Current Liabilities (2010 - 2026)
Cato's Total Non-Current Liabilities came in at $244.27 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.8% from $251.37 million a year earlier and down 6.5% from the prior quarter.
Cato (CATO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cato's Total Non-Current Liabilities was $252.83 million, down 8.6% from FY2025.
- Total Non-Current Liabilities has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -4.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $276.58 million in FY2025 (-1.2%), $280.02 million in FY2024 (-9.8%), $310.36 million in FY2023 (-14.2%) and $361.66 million in FY2022 (+11.2%).
- The fiscal Q2 2027 figure represents the lowest quarterly Total Non-Current Liabilities since fiscal Q3 2025.
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2026 (growth of 15.9%), and the weakest in fiscal Q1 2024 (a decline of 15.2%).
- Business Quant data shows CATO's Total Non-Current Liabilities at $261.16 million (Q1 2027), $252.83 million (Q4 2026) and $269.81 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 5.05 Bn |
| 10 | Cato | 43.89 Mn | -283.46 Mn | 55.32 Mn | 244.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 244.27 Mn |
| May 2, 2026 | 261.16 Mn |
| Jan 31, 2026 | 252.83 Mn |
| Nov 1, 2025 | 269.81 Mn |
| Aug 2, 2025 | 251.37 Mn |
| May 3, 2025 | 262.60 Mn |
| Feb 1, 2025 | 276.58 Mn |
| Nov 2, 2024 | 232.75 Mn |
| Aug 3, 2024 | 245.94 Mn |
| May 4, 2024 | 265.63 Mn |
| Feb 3, 2024 | 280.02 Mn |
| Oct 28, 2023 | 253.87 Mn |
| Jul 29, 2023 | 265.95 Mn |
| Apr 29, 2023 | 291.41 Mn |
| Jan 28, 2023 | 310.36 Mn |
| Oct 29, 2022 | 287.82 Mn |
| Jul 30, 2022 | 296.30 Mn |
| Apr 30, 2022 | 343.58 Mn |
| Jan 29, 2022 | 361.66 Mn |
| Oct 30, 2021 | 298.97 Mn |
Cato Total Non-Current 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-non-current-liabilities&ticker=CATO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();