Pricesmart (PSMT) Revenue (2010 - 2026)
Pricesmart (PSMT) reported Revenue of $1.48 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.5% from $1.32 billion a year earlier but down 0.9% from the prior quarter.
Pricesmart (PSMT) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Revenue came in at $5.69 billion, up 10.2% year-over-year; for FY2025 (ended Aug 31, 2025), it was $5.27 billion, up 7.2% from FY2024.
- Revenue has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $4.91 billion in FY2024 (+11.4%), $4.41 billion in FY2023 (+8.5%), $4.07 billion in FY2022 (+12.3%) and $3.62 billion in FY2021 (+8.7%).
- Five-year quarterly Revenue spans a low of $909.61 million in fiscal Q4 2021 and a high of $1.5 billion in fiscal Q2 2026.
- Year over year, Revenue has now increased in each of the last 61 quarters, with growth averaging 8.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 5.6% in fiscal Q2 2025 to 15.1% in fiscal Q3 2022.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.5 billion (Q2 2026), $1.38 billion (Q1 2026) and $1.33 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Pricesmart | 5.26 Bn | 4.00 Bn | 262.22 Mn | 1.48 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.48 Bn |
| Feb 28, 2026 | 1.50 Bn |
| Nov 30, 2025 | 1.38 Bn |
| Aug 31, 2025 | 1.33 Bn |
| May 31, 2025 | 1.32 Bn |
| Feb 28, 2025 | 1.36 Bn |
| Nov 30, 2024 | 1.26 Bn |
| Aug 31, 2024 | 1.23 Bn |
| May 31, 2024 | 1.23 Bn |
| Feb 29, 2024 | 1.29 Bn |
| Nov 30, 2023 | 1.17 Bn |
| Aug 31, 2023 | 1.12 Bn |
| May 31, 2023 | 1.10 Bn |
| Feb 28, 2023 | 1.14 Bn |
| Nov 30, 2022 | 1.05 Bn |
| Aug 31, 2022 | 1.02 Bn |
| May 31, 2022 | 1.03 Bn |
| Feb 28, 2022 | 1.04 Bn |
| Nov 30, 2021 | 975.36 Mn |
| Aug 31, 2021 | 909.61 Mn |
Pricesmart Revenue 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=revenue&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();