Cato (CATO) Depreciation and Depletion (2011 - 2026)
Cato (CATO) reported Depreciation and Depletion of $2.25 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 11.0% from $2.53 million a year earlier but up 0.4% from the prior quarter.
Cato (CATO) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Cato's Depreciation and Depletion came in at $9.38 million, down 11.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $9.99 million, up 1.7% from FY2025.
- Depreciation and Depletion has a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $9.82 million in FY2025 (-0.5%), $9.87 million in FY2024 (-10.9%), $11.08 million in FY2023 (-10.3%) and $12.36 million in FY2022 (-15.8%).
- Five-year quarterly Depreciation and Depletion spans a low of $2.04 million in fiscal Q1 2025 and a high of $3.17 million in fiscal Q3 2022.
- Year over year, Depreciation and Depletion has now declined in each of the last four quarters, with growth averaging 1.0% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q1 2026 (growth of 25.7%); the low point was fiscal Q4 2022 (a decline of 15.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $2.24 million (Q1 2027), $2.45 million (Q4 2026) and $2.44 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | - |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | - |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | - |
| 10 | Cato | 44.27 Mn | -283.08 Mn | 55.32 Mn | 2.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.25 Mn |
| May 2, 2026 | 2.24 Mn |
| Jan 31, 2026 | 2.45 Mn |
| Nov 1, 2025 | 2.44 Mn |
| Aug 2, 2025 | 2.53 Mn |
| May 3, 2025 | 2.56 Mn |
| Feb 1, 2025 | 2.71 Mn |
| Nov 2, 2024 | 2.74 Mn |
| Aug 3, 2024 | 2.33 Mn |
| May 4, 2024 | 2.04 Mn |
| Feb 3, 2024 | 2.50 Mn |
| Oct 28, 2023 | 2.50 Mn |
| Jul 29, 2023 | 2.51 Mn |
| Apr 29, 2023 | 2.36 Mn |
| Jan 28, 2023 | 2.66 Mn |
| Oct 29, 2022 | 2.86 Mn |
| Jul 30, 2022 | 2.81 Mn |
| Apr 30, 2022 | 2.74 Mn |
| Jan 29, 2022 | 3.00 Mn |
| Oct 30, 2021 | 3.17 Mn |
Cato Depreciation and Depletion 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=depreciation-and-depletion&ticker=CATO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();