Pricesmart (PSMT) Operating Income (2010 - 2026)
Pricesmart (PSMT) reported Operating Income of $65.64 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 16.7% from $56.23 million a year earlier but down 13.0% from the prior quarter.
Pricesmart (PSMT) Operating Income (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Operating Income came in at $256.74 million, up 12.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $232.51 million, up 5.2% from FY2024.
- Operating Income has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By fiscal year, Operating Income came in at $220.94 million in FY2024 (+19.7%), $184.52 million in FY2023 (+10.4%), $167.07 million in FY2022 (+5.7%) and $158.02 million in FY2021 (+29.0%).
- Five-year quarterly Operating Income spans a low of $32.14 million in fiscal Q4 2023 and a high of $75.42 million in fiscal Q2 2026.
- Year over year, Operating Income has now increased in each of the last 11 quarters, with growth averaging 14.5% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was fiscal Q4 2024 (growth of 53.1%); the low point was fiscal Q4 2023 (a decline of 17.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $75.42 million (Q2 2026), $62.93 million (Q1 2026) and $52.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 928.63 Bn | 885.06 Bn | 49.13 Bn | 9.38 Bn |
| 2 | Costco Wholesale | 439.28 Bn | 362.56 Bn | 12.19 Bn | 3.80 Bn |
| 3 | Sysco | 39.64 Bn | 33.89 Bn | 4.13 Bn | 983.00 Mn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 971.00 Mn |
| 5 | Dollar General | 29.27 Bn | 23.94 Bn | 3.68 Bn | 769.16 Mn |
| 6 | Caseys General Stores | 25.17 Bn | 23.17 Bn | 1.24 Bn | 485.08 Mn |
| 7 | Dollar Tree | 23.61 Bn | 20.24 Bn | 2.10 Bn | 690.10 Mn |
| 8 | US Foods Holding | 22.52 Bn | 22.31 Bn | 1.92 Bn | 443.00 Mn |
| 9 | Tractor Supply | 17.14 Bn | 16.31 Bn | 1.68 Bn | 467.12 Mn |
| 10 | Pricesmart | 5.23 Bn | 3.97 Bn | 262.22 Mn | 65.64 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 65.64 Mn |
| Feb 28, 2026 | 75.42 Mn |
| Nov 30, 2025 | 62.93 Mn |
| Aug 31, 2025 | 52.75 Mn |
| May 31, 2025 | 56.23 Mn |
| Feb 28, 2025 | 65.27 Mn |
| Nov 30, 2024 | 58.26 Mn |
| Aug 31, 2024 | 49.20 Mn |
| May 31, 2024 | 49.91 Mn |
| Feb 29, 2024 | 63.62 Mn |
| Nov 30, 2023 | 58.21 Mn |
| Aug 31, 2023 | 32.14 Mn |
| May 31, 2023 | 43.05 Mn |
| Feb 28, 2023 | 53.80 Mn |
| Nov 30, 2022 | 55.53 Mn |
| Aug 31, 2022 | 38.97 Mn |
| May 31, 2022 | 33.76 Mn |
| Feb 28, 2022 | 48.32 Mn |
| Nov 30, 2021 | 46.02 Mn |
| Aug 31, 2021 | 32.46 Mn |
Pricesmart Operating Income 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=operating-income&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();