Pricesmart (PSMT) EBITDA (2010 - 2026)
Pricesmart (PSMT) posted EBITDA of $90.42 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 14.5% from $78.99 million a year earlier but down 9.3% from the prior quarter.
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Analysis
Pricesmart (PSMT) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EBITDA at Pricesmart was $352.54 million, up 11.6% year-over-year; for FY2025 (ended Aug 31, 2025), it was $320.67 million, up 5.6% from FY2024.
- Annual EBITDA has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's EBITDA was $303.56 million in FY2024 (+18.0%), $257.21 million in FY2023 (+8.7%), $236.55 million in FY2022 (+4.9%) and $225.41 million in FY2021 (+21.1%).
- Quarterly EBITDA has run from a low of $49.09 million in fiscal Q4 2021 to a high of $99.69 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last 11 quarters, with growth averaging 12.4% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2024, with growth of 37.1%; the weakest was fiscal Q4 2023, with a decline of 8.8%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $99.69 million (Q2 2026), $86.9 million (Q1 2026) and $75.53 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 933.80 Bn | 890.23 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 439.38 Bn | 362.66 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.32 Bn | 33.57 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.27 Bn | 24.42 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.27 Bn | 23.94 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.32 Bn | 23.32 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.83 Bn | 20.45 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.38 Bn | 22.18 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.16 Bn | 16.32 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Pricesmart | 5.19 Bn | 3.93 Bn | 262.22 Mn | 90.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 90.42 Mn |
| Feb 28, 2026 | 99.69 Mn |
| Nov 30, 2025 | 86.90 Mn |
| Aug 31, 2025 | 75.53 Mn |
| May 31, 2025 | 78.99 Mn |
| Feb 28, 2025 | 87.04 Mn |
| Nov 30, 2024 | 79.12 Mn |
| Aug 31, 2024 | 70.70 Mn |
| May 31, 2024 | 71.04 Mn |
| Feb 29, 2024 | 84.11 Mn |
| Nov 30, 2023 | 77.71 Mn |
| Aug 31, 2023 | 51.57 Mn |
| May 31, 2023 | 60.87 Mn |
| Feb 28, 2023 | 71.68 Mn |
| Nov 30, 2022 | 73.10 Mn |
| Aug 31, 2022 | 56.58 Mn |
| May 31, 2022 | 51.32 Mn |
| Feb 28, 2022 | 65.42 Mn |
| Nov 30, 2021 | 61.62 Mn |
| Aug 31, 2021 | 49.09 Mn |
API Access
Pricesmart EBITDA 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=ebitda&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();