Pricesmart (PSMT) EV to EBITDA (2011 - 2026)
Pricesmart's (PSMT) EV to EBITDA came in at 13.97 for fiscal Q3 2026 (quarter ended May 31, 2026), up 44.2% from 9.68 a year earlier and up 6.6% from the prior quarter.
Pricesmart (PSMT) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EV to EBITDA at Pricesmart was 11.30, up 51.0% year-over-year; for FY2025 (ended Aug 31, 2025), it was 9.30, up 12.1% from FY2024.
- Annual EV to EBITDA has increased for three consecutive fiscal years.
- In prior fiscal years, Pricesmart's EV to EBITDA was 8.30 in FY2024 (+0.2%), 8.28 in FY2023 (+14.8%), 7.21 in FY2022 (-30.8%) and 10.43 in FY2021 (+16.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly EV to EBITDA since fiscal Q4 2018.
- On a year-over-year basis, EV to EBITDA has increased in each of the last five quarters, with growth averaging 22.5% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q2 2026, with growth of 61.3%; the weakest was fiscal Q2 2022, with a decline of 32.4%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 13.11 (Q2 2026), 10.57 (Q1 2026) and 9.30 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 942.83 Bn | 899.26 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 441.78 Bn | 365.06 Bn | 12.19 Bn |
| 3 | Sysco | 39.58 Bn | 33.83 Bn | 4.13 Bn |
| 4 | Kroger | 37.93 Bn | 24.08 Bn | 7.86 Bn |
| 5 | Dollar General | 29.55 Bn | 24.23 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.48 Bn | 23.47 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.38 Bn | 22.17 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.26 Bn | 16.42 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.28 Bn | 4.02 Bn | 262.22 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 13.97 |
| Feb 28, 2026 | 13.11 |
| Nov 30, 2025 | 10.57 |
| Aug 31, 2025 | 9.30 |
| May 31, 2025 | 9.68 |
| Feb 28, 2025 | 8.13 |
| Nov 30, 2024 | 8.29 |
| Aug 31, 2024 | 8.30 |
| May 31, 2024 | 8.26 |
| Feb 29, 2024 | 8.44 |
| Nov 30, 2023 | 6.85 |
| Aug 31, 2023 | 8.28 |
| May 31, 2023 | 7.31 |
| Feb 28, 2023 | 7.31 |
| Nov 30, 2022 | 7.83 |
| Aug 31, 2022 | 7.26 |
| May 31, 2022 | 9.69 |
| Feb 28, 2022 | 8.91 |
| Nov 30, 2021 | 8.90 |
| Aug 31, 2021 | 10.54 |
Pricesmart EV to 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=ev-to-ebitda&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();