Cato (CATO) Accumulated Expenses (2010 - 2026)
Cato's Accumulated Expenses was $31.83 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 10.0% from $35.35 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Cato (CATO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Cato came in at $37.1 million, down 11.1% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $41.72 million in FY2025 (+11.5%), $37.4 million in FY2024 (-9.5%), $41.34 million in FY2023 (+2.4%) and $40.37 million in FY2022 (-1.0%).
- The fiscal Q2 2027 figure marks the lowest quarterly Accumulated Expenses in data going back to fiscal Q2 2011.
- Compared with a year earlier, Accumulated Expenses has declined for six straight quarters, with an average decline of 4.4% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2025 (growth of 11.5%); the worst was fiscal Q4 2026 (a decline of 11.1%).
- Per Business Quant data, CATO's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $34.59 million (Q1 2027), $37.1 million (Q4 2026) and $36.96 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Cato | 43.89 Mn | -283.47 Mn | 55.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 31.83 Mn |
| May 2, 2026 | 34.59 Mn |
| Jan 31, 2026 | 37.10 Mn |
| Nov 1, 2025 | 36.96 Mn |
| Aug 2, 2025 | 35.35 Mn |
| May 3, 2025 | 38.25 Mn |
| Feb 1, 2025 | 41.72 Mn |
| Nov 2, 2024 | 38.16 Mn |
| Aug 3, 2024 | 36.21 Mn |
| May 4, 2024 | 38.49 Mn |
| Feb 3, 2024 | 37.40 Mn |
| Oct 28, 2023 | 42.52 Mn |
| Jul 29, 2023 | 38.55 Mn |
| Apr 29, 2023 | 42.59 Mn |
| Jan 28, 2023 | 41.34 Mn |
| Oct 29, 2022 | 47.00 Mn |
| Jul 30, 2022 | 40.21 Mn |
| Apr 30, 2022 | 45.38 Mn |
| Jan 29, 2022 | 40.37 Mn |
| Oct 30, 2021 | 44.27 Mn |
API Access
Cato Accumulated Expenses 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=accumulated-expenses&ticker=CATO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();