Pricesmart (PSMT) Depreciation and Depletion (2018 - 2026)
Pricesmart's Depreciation and Depletion came in at $24.78 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 8.9% from $22.76 million a year earlier and up 2.1% from the prior quarter.
Pricesmart (PSMT) Depreciation and Depletion (2018 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Pricesmart reported Depreciation and Depletion of $95.8 million, up 10.3% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $88.16 million, up 6.7% from FY2024.
- Depreciation and Depletion has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by fiscal year, Depreciation and Depletion was $82.61 million in FY2024 (+14.8%), $71.93 million in FY2023 (+8.6%), $66.26 million in FY2022 (+5.9%) and $62.58 million in FY2021 (+6.4%).
- The fiscal Q3 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2019.
- Year-over-year, Depreciation and Depletion has increased for 27 consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 1.7% in fiscal Q4 2021 to 18.6% in fiscal Q3 2024.
- Business Quant data shows PSMT's Depreciation and Depletion at $24.27 million (Q2 2026), $23.98 million (Q1 2026) and $22.78 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 104.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | - |
| 10 | Pricesmart | 5.22 Bn | 3.96 Bn | 262.22 Mn | 24.78 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 24.78 Mn |
| Feb 28, 2026 | 24.27 Mn |
| Nov 30, 2025 | 23.98 Mn |
| Aug 31, 2025 | 22.78 Mn |
| May 31, 2025 | 22.76 Mn |
| Feb 28, 2025 | 21.77 Mn |
| Nov 30, 2024 | 20.86 Mn |
| Aug 31, 2024 | 21.50 Mn |
| May 31, 2024 | 21.13 Mn |
| Feb 29, 2024 | 20.49 Mn |
| Nov 30, 2023 | 19.49 Mn |
| Aug 31, 2023 | 19.43 Mn |
| May 31, 2023 | 17.82 Mn |
| Feb 28, 2023 | 17.49 Mn |
| Nov 30, 2022 | 17.18 Mn |
| Aug 31, 2022 | 17.22 Mn |
| May 31, 2022 | 17.17 Mn |
| Feb 28, 2022 | 16.72 Mn |
| Nov 30, 2021 | 15.15 Mn |
| Aug 31, 2021 | 16.03 Mn |
Pricesmart 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=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "PSMT", "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=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();