Pricesmart (PSMT) EBIT (2010 - 2026)
Pricesmart (PSMT) posted EBIT 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) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EBIT at Pricesmart was $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.
- Annual EBIT has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's EBIT was $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%).
- Quarterly EBIT has run from a low of $32.14 million in fiscal Q4 2023 to a high of $75.42 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBIT has increased in each of the last 11 quarters, with growth averaging 14.5% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q4 2024, with growth of 53.1%; the weakest was fiscal Q4 2023, with a decline of 17.5%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $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) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 9.38 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 2.82 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 983.00 Mn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 971.00 Mn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 769.16 Mn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 485.08 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 690.10 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 443.00 Mn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 467.12 Mn |
| 10 | Pricesmart | 5.26 Bn | 4.00 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 EBIT 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=ebit&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();