Cato (CATO) Cash & Equivalents (2010 - 2026)
Cato (CATO) posted Cash & Equivalents of $35.12 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.6% from $34.23 million a year earlier and up 38.2% from the prior quarter.
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Analysis
Cato (CATO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cato's Cash & Equivalents came in at $16.79 million, down 17.2% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -0.8% (FY2021 to FY2026).
- In prior fiscal years, Cato's Cash & Equivalents was $20.28 million in FY2025 (-15.3%), $23.94 million in FY2024 (+19.7%), $20.01 million in FY2023 (+1.2%) and $19.76 million in FY2022 (+12.8%).
- The fiscal Q2 2027 figure stands as the highest quarterly Cash & Equivalents since fiscal Q1 2025.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 8.0%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q2 2024, with growth of 85.6%; the weakest was fiscal Q2 2025, with a decline of 45.0%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $25.41 million (Q1 2027), $16.79 million (Q4 2026) and $22.77 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | 4.29 Bn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | 262.18 Mn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | - |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Cato | 42.47 Mn | -284.89 Mn | 55.32 Mn | 35.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 35.12 Mn |
| May 2, 2026 | 25.41 Mn |
| Jan 31, 2026 | 16.79 Mn |
| Nov 1, 2025 | 22.77 Mn |
| Aug 2, 2025 | 34.23 Mn |
| May 3, 2025 | 31.35 Mn |
| Feb 1, 2025 | 20.28 Mn |
| Nov 2, 2024 | 20.22 Mn |
| Aug 3, 2024 | 30.76 Mn |
| May 4, 2024 | 39.10 Mn |
| Feb 3, 2024 | 23.94 Mn |
| Oct 28, 2023 | 25.02 Mn |
| Jul 29, 2023 | 55.98 Mn |
| Apr 29, 2023 | 39.64 Mn |
| Jan 28, 2023 | 20.01 Mn |
| Oct 29, 2022 | 17.28 Mn |
| Jul 30, 2022 | 30.15 Mn |
| Apr 30, 2022 | 25.88 Mn |
| Jan 29, 2022 | 19.76 Mn |
| Oct 30, 2021 | 23.99 Mn |
API Access
Cato Cash & Equivalents 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=cash-and-equivalents&ticker=CATO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();