Pricesmart (PSMT) Net Income (2010 - 2026)
Pricesmart (PSMT) posted Net Income of $39.69 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.9% from $35.15 million a year earlier but down 19.1% from the prior quarter.
Pricesmart (PSMT) Net Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Net Income at Pricesmart was $160.47 million, up 10.3% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $147.88 million, up 6.5% from FY2024.
- Annual Net Income has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's Net Income was $138.88 million in FY2024 (+27.2%), $109.21 million in FY2023 (+4.4%), $104.55 million in FY2022 (+6.5%) and $98.16 million in FY2021 (+25.6%).
- Quarterly Net Income has run from a low of $15.38 million in fiscal Q4 2023 to a high of $49.09 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Net Income has increased in each of the last six quarters, with growth averaging 18.5% over the last eight quarters.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q4 2024, with growth of 89.1%; the weakest was fiscal Q4 2023, with a decline of 34.0%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was $49.09 million (Q2 2026), $40.17 million (Q1 2026) and $31.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 938.89 Bn | 895.32 Bn | 49.13 Bn | 6.53 Bn |
| 2 | Costco Wholesale | 441.44 Bn | 364.72 Bn | 12.19 Bn | 3.00 Bn |
| 3 | Sysco | 39.34 Bn | 33.59 Bn | 4.13 Bn | 551.00 Mn |
| 4 | Kroger | 38.49 Bn | 24.64 Bn | 7.86 Bn | 642.00 Mn |
| 5 | Dollar General | 29.44 Bn | 24.12 Bn | 3.68 Bn | 550.32 Mn |
| 6 | Caseys General Stores | 25.45 Bn | 23.44 Bn | 1.24 Bn | 273.72 Mn |
| 7 | Dollar Tree | 23.97 Bn | 20.59 Bn | 2.10 Bn | 514.50 Mn |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 275.00 Mn |
| 9 | Tractor Supply | 17.17 Bn | 16.33 Bn | 1.68 Bn | 360.72 Mn |
| 10 | Pricesmart | 5.20 Bn | 3.94 Bn | 262.22 Mn | 39.69 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 39.69 Mn |
| Feb 28, 2026 | 49.09 Mn |
| Nov 30, 2025 | 40.17 Mn |
| Aug 31, 2025 | 31.54 Mn |
| May 31, 2025 | 35.16 Mn |
| Feb 28, 2025 | 43.76 Mn |
| Nov 30, 2024 | 37.43 Mn |
| Aug 31, 2024 | 29.07 Mn |
| May 31, 2024 | 32.49 Mn |
| Feb 29, 2024 | 39.27 Mn |
| Nov 30, 2023 | 38.05 Mn |
| Aug 31, 2023 | 15.38 Mn |
| May 31, 2023 | 29.57 Mn |
| Feb 28, 2023 | 31.35 Mn |
| Nov 30, 2022 | 32.91 Mn |
| Aug 31, 2022 | 23.30 Mn |
| May 31, 2022 | 19.26 Mn |
| Feb 28, 2022 | 31.46 Mn |
| Nov 30, 2021 | 30.53 Mn |
| Aug 31, 2021 | 19.43 Mn |
Pricesmart Net 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=net-income&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();