Pricesmart (PSMT) Other Operating Expenses (2010 - 2026)
Pricesmart's Other Operating Expenses came in at $144.3 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 14.8% from $125.75 million a year earlier and up 3.5% from the prior quarter.
Pricesmart (PSMT) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Pricesmart reported Other Operating Expenses of $546.16 million, up 12.0% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $498.41 million, up 6.8% from FY2024.
- Other Operating Expenses has increased in each of the last 15 fiscal years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by fiscal year, Other Operating Expenses was $466.46 million in FY2024 (+11.8%), $417.27 million in FY2023 (+10.3%), $378.16 million in FY2022 (+5.3%) and $359.22 million in FY2021 (+11.2%).
- The fiscal Q3 2026 figure represents the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2010.
- Year-over-year, Other Operating Expenses has increased for 61 consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 2.4% (fiscal Q4 2022) and 16.3% (fiscal Q4 2021) over the last five years.
- Business Quant data shows PSMT's Other Operating Expenses at $139.46 million (Q2 2026), $131.82 million (Q1 2026) and $130.58 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.22 Bn | 3.96 Bn | 262.22 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 144.30 Mn |
| Feb 28, 2026 | 139.46 Mn |
| Nov 30, 2025 | 131.82 Mn |
| Aug 31, 2025 | 130.58 Mn |
| May 31, 2025 | 125.75 Mn |
| Feb 28, 2025 | 124.23 Mn |
| Nov 30, 2024 | 117.86 Mn |
| Aug 31, 2024 | 119.67 Mn |
| May 31, 2024 | 119.05 Mn |
| Feb 29, 2024 | 117.77 Mn |
| Nov 30, 2023 | 109.97 Mn |
| Aug 31, 2023 | 110.58 Mn |
| May 31, 2023 | 106.17 Mn |
| Feb 28, 2023 | 103.63 Mn |
| Nov 30, 2022 | 96.89 Mn |
| Aug 31, 2022 | 96.89 Mn |
| May 31, 2022 | 96.08 Mn |
| Feb 28, 2022 | 93.99 Mn |
| Nov 30, 2021 | 91.20 Mn |
| Aug 31, 2021 | 94.62 Mn |
Pricesmart 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=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();