Pricesmart (PSMT) EBIT (2010 - 2026)
Pricesmart (PSMT) posted EBIT of $57.03 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 8.1% from $52.75 million a year earlier but down 13.1% from the prior quarter.
Pricesmart (PSMT) EBIT (2010 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Pricesmart's EBIT came in at $261.02 million, up 12.3% from FY2025.
- Annual EBIT has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 10.6% (FY2021 to FY2026).
- In prior fiscal years, Pricesmart's EBIT was $232.51 million in FY2025 (+5.2%), $220.94 million in FY2024 (+19.7%), $184.52 million in FY2023 (+10.4%) and $167.07 million in FY2022 (+5.7%).
- 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 12 quarters, with growth averaging 8.9% 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 $65.64 million (Q3 2026), $75.42 million (Q2 2026) and $62.93 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.32 Bn | 952.75 Bn | 49.13 Bn | 9.38 Bn |
| 2 | Costco Wholesale | 469.92 Bn | 393.20 Bn | 12.19 Bn | 3.80 Bn |
| 3 | Kroger | 40.99 Bn | 27.14 Bn | 7.86 Bn | 971.00 Mn |
| 4 | Sysco | 37.79 Bn | 29.71 Bn | 4.05 Bn | 717.00 Mn |
| 5 | Dollar General | 30.20 Bn | 24.88 Bn | 3.68 Bn | 769.16 Mn |
| 6 | Dollar Tree | 26.17 Bn | 22.79 Bn | 2.10 Bn | 690.10 Mn |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | 485.08 Mn |
| 8 | US Foods Holding | 23.76 Bn | 23.56 Bn | 1.90 Bn | 371.00 Mn |
| 9 | Tractor Supply | 19.62 Bn | 18.77 Bn | 1.42 Bn | 307.73 Mn |
| 10 | Pricesmart | 5.00 Bn | 3.72 Bn | 266.81 Mn | 57.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 57.03 Mn |
| 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 |
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();