Pricesmart (PSMT) EBT (2010 - 2026)
Pricesmart (PSMT) reported EBT of $55.14 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.4% from $49.07 million a year earlier but down 17.3% from the prior quarter.
Pricesmart (PSMT) EBT (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's EBT came in at $223.86 million, up 10.8% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $206.5 million, up 2.5% from FY2024.
- EBT has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- By fiscal year, EBT came in at $201.43 million in FY2024 (+19.0%), $169.21 million in FY2023 (+8.2%), $156.42 million in FY2022 (+6.3%) and $147.19 million in FY2021 (+26.8%).
- Five-year quarterly EBT spans a low of $29.02 million in fiscal Q3 2022 and a high of $66.69 million in fiscal Q2 2026.
- Year over year, EBT has now increased in each of the last six quarters, with growth averaging 10.2% over the last eight quarters.
- The high point for year-over-year EBT in five years was fiscal Q3 2023 (growth of 43.3%); the low point was fiscal Q4 2023 (a decline of 13.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $66.69 million (Q2 2026), $55.7 million (Q1 2026) and $46.34 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 8.01 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 4.01 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 720.00 Mn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 840.00 Mn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 726.28 Mn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 347.03 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 686.40 Mn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 369.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 450.01 Mn |
| 10 | Pricesmart | 5.25 Bn | 3.98 Bn | 262.22 Mn | 55.14 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 55.14 Mn |
| Feb 28, 2026 | 66.69 Mn |
| Nov 30, 2025 | 55.70 Mn |
| Aug 31, 2025 | 46.34 Mn |
| May 31, 2025 | 49.07 Mn |
| Feb 28, 2025 | 60.16 Mn |
| Nov 30, 2024 | 50.93 Mn |
| Aug 31, 2024 | 41.81 Mn |
| May 31, 2024 | 46.97 Mn |
| Feb 29, 2024 | 56.51 Mn |
| Nov 30, 2023 | 56.14 Mn |
| Aug 31, 2023 | 30.68 Mn |
| May 31, 2023 | 41.58 Mn |
| Feb 28, 2023 | 47.58 Mn |
| Nov 30, 2022 | 49.37 Mn |
| Aug 31, 2022 | 35.44 Mn |
| May 31, 2022 | 29.02 Mn |
| Feb 28, 2022 | 45.61 Mn |
| Nov 30, 2021 | 46.35 Mn |
| Aug 31, 2021 | 30.16 Mn |
Pricesmart EBT 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=ebt&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();