Cato (CATO) Other Operating Expenses (2010 - 2026)
Cato (CATO) recorded Other Operating Expenses of $107.91 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.0% from $110.07 million a year earlier but up 2.7% from the prior quarter.
Cato (CATO) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Cato's Other Operating Expenses came in at $419.81 million as of Aug 1, 2026, down 2.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $424.98 million, up 0.1% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $424.67 million in FY2025 (-7.5%), $459.25 million in FY2024 (-8.9%), $503.85 million in FY2023 (+11.7%) and $451 million in FY2022 (+5.7%).
- Quarterly Other Operating Expenses has ranged from $172,000 in fiscal Q3 2023 to $131.84 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for three consecutive quarters, with an average decline of 1.8% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 10.5% in fiscal Q4 2023, against a decline of 99.7% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $105.11 million (Q1 2027), $104.45 million (Q4 2026) and $102.34 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Cato | 43.56 Mn | -283.80 Mn | 55.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 107.91 Mn |
| May 2, 2026 | 105.11 Mn |
| Jan 31, 2026 | 104.45 Mn |
| Nov 1, 2025 | 102.34 Mn |
| Aug 2, 2025 | 110.07 Mn |
| May 3, 2025 | 108.12 Mn |
| Feb 1, 2025 | 110.30 Mn |
| Nov 2, 2024 | 100.31 Mn |
| Aug 3, 2024 | 107.38 Mn |
| May 4, 2024 | 106.68 Mn |
| Feb 3, 2024 | 117.47 Mn |
| Oct 28, 2023 | 104.31 Mn |
| Jul 29, 2023 | 116.28 Mn |
| Apr 29, 2023 | 121.19 Mn |
| Jan 28, 2023 | 120.67 Mn |
| Oct 29, 2022 | 172,000.00 |
| Jul 30, 2022 | 187,000.00 |
| Apr 30, 2022 | 131.84 Mn |
| Jan 29, 2022 | 109.23 Mn |
| Oct 30, 2021 | 338,000.00 |
Cato Other Operating 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=other-operating-expenses&ticker=CATO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();