Caleres (CAL) Depreciation and Depletion (2010 - 2026)
Caleres (CAL) reported Depreciation and Depletion of $11.54 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.5% from $11.37 million a year earlier but down 4.4% from the prior quarter.
Caleres (CAL) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Caleres' Depreciation and Depletion came in at $49.76 million, up 15.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $48.29 million, up 20.0% from FY2025.
- Depreciation and Depletion has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $40.25 million in FY2025 (+11.3%), $36.17 million in FY2024 (+11.5%), $32.45 million in FY2023 (-4.8%) and $34.07 million in FY2022 (-18.2%).
- Five-year quarterly Depreciation and Depletion spans a low of $7.82 million in fiscal Q2 2023 and a high of $13.21 million in fiscal Q4 2026.
- Year over year, Depreciation and Depletion has now increased in each of the last 15 quarters, with growth averaging 14.2% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q3 2026 (growth of 25.4%); the low point was fiscal Q3 2022 (a decline of 17.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $12.07 million (Q1 2027), $13.21 million (Q4 2026) and $12.95 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 56.50 Mn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | - |
| 10 | Caleres | 424.76 Mn | 280.62 Mn | 380.98 Mn | 11.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 11.54 Mn |
| May 2, 2026 | 12.07 Mn |
| Jan 31, 2026 | 13.21 Mn |
| Nov 1, 2025 | 12.95 Mn |
| Aug 2, 2025 | 11.37 Mn |
| May 3, 2025 | 10.77 Mn |
| Feb 1, 2025 | 10.79 Mn |
| Nov 2, 2024 | 10.32 Mn |
| Aug 3, 2024 | 9.74 Mn |
| May 4, 2024 | 9.40 Mn |
| Feb 3, 2024 | 10.60 Mn |
| Oct 28, 2023 | 8.68 Mn |
| Jul 29, 2023 | 8.42 Mn |
| Apr 29, 2023 | 8.48 Mn |
| Jan 28, 2023 | 8.50 Mn |
| Oct 29, 2022 | 8.06 Mn |
| Jul 30, 2022 | 7.82 Mn |
| Apr 30, 2022 | 8.06 Mn |
| Jan 29, 2022 | 8.45 Mn |
| Oct 30, 2021 | 8.28 Mn |
Caleres 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=CAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "CAL", "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=CAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();