Pricesmart (PSMT) Selling, General & Administrative (2010 - 2026)
Pricesmart (PSMT) reported Selling, General & Administrative of $51.41 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 9.2% from $47.07 million a year earlier and up 3.3% from the prior quarter.
Pricesmart (PSMT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Selling, General & Administrative came in at $197.65 million, up 13.3% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $179.86 million, up 15.0% from FY2024.
- Selling, General & Administrative has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- By fiscal year, Selling, General & Administrative came in at $156.39 million in FY2024 (+16.0%), $134.78 million in FY2023 (+1.2%), $133.19 million in FY2022 (+6.2%) and $125.42 million in FY2021 (+17.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to fiscal Q3 2010.
- Year over year, Selling, General & Administrative has now increased in each of the last 11 quarters, with growth averaging 15.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2024 (growth of 20.8%); the low point was fiscal Q3 2022 (a decline of 7.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $49.74 million (Q2 2026), $49.31 million (Q1 2026) and $47.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 6.19 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 | 2.91 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 | 1.43 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Pricesmart | 5.22 Bn | 3.96 Bn | 262.22 Mn | 51.41 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 51.41 Mn |
| Feb 28, 2026 | 49.74 Mn |
| Nov 30, 2025 | 49.31 Mn |
| Aug 31, 2025 | 47.19 Mn |
| May 31, 2025 | 47.07 Mn |
| Feb 28, 2025 | 43.03 Mn |
| Nov 30, 2024 | 42.57 Mn |
| Aug 31, 2024 | 41.70 Mn |
| May 31, 2024 | 40.43 Mn |
| Feb 29, 2024 | 38.81 Mn |
| Nov 30, 2023 | 35.44 Mn |
| Aug 31, 2023 | 34.51 Mn |
| May 31, 2023 | 34.34 Mn |
| Feb 28, 2023 | 32.76 Mn |
| Nov 30, 2022 | 33.17 Mn |
| Aug 31, 2022 | 36.65 Mn |
| May 31, 2022 | 30.89 Mn |
| Feb 28, 2022 | 33.95 Mn |
| Nov 30, 2021 | 31.69 Mn |
| Aug 31, 2021 | 33.40 Mn |
Pricesmart Selling, General & Administrative 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=selling-general-and-administrative&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();