Pricesmart (PSMT) Cost of Revenue (2010 - 2026)
Pricesmart (PSMT) reported Cost of Revenue of $1.22 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.1% from $1.09 billion a year earlier but down 0.9% from the prior quarter.
Pricesmart (PSMT) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Cost of Revenue came in at $4.69 billion, up 9.8% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $4.36 billion, up 7.1% from FY2024.
- Cost of Revenue has increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $4.07 billion in FY2024 (+11.3%), $3.65 billion in FY2023 (+7.9%), $3.38 billion in FY2022 (+13.8%) and $2.98 billion in FY2021 (+7.2%).
- Five-year quarterly Cost of Revenue spans a low of $848.41 million in fiscal Q4 2022 and a high of $1.23 billion in fiscal Q2 2026.
- Year over year, Cost of Revenue has now increased in each of the last 14 quarters, with growth averaging 8.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 4.9% in fiscal Q3 2023 to 13.4% in fiscal Q2 2024.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.23 billion (Q2 2026), $1.14 billion (Q1 2026) and $1.1 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 138.80 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 61.52 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 17.99 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 26.76 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 7.61 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 4.44 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 2.79 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 8.61 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 2.86 Bn |
| 10 | Pricesmart | 5.27 Bn | 4.00 Bn | 262.22 Mn | 1.22 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.22 Bn |
| Feb 28, 2026 | 1.23 Bn |
| Nov 30, 2025 | 1.14 Bn |
| Aug 31, 2025 | 1.10 Bn |
| May 31, 2025 | 1.09 Bn |
| Feb 28, 2025 | 1.13 Bn |
| Nov 30, 2024 | 1.04 Bn |
| Aug 31, 2024 | 1.01 Bn |
| May 31, 2024 | 1.02 Bn |
| Feb 29, 2024 | 1.07 Bn |
| Nov 30, 2023 | 962.28 Mn |
| Aug 31, 2023 | 926.84 Mn |
| May 31, 2023 | 912.59 Mn |
| Feb 28, 2023 | 944.03 Mn |
| Nov 30, 2022 | 869.06 Mn |
| Aug 31, 2022 | 848.41 Mn |
| May 31, 2022 | 869.62 Mn |
| Feb 28, 2022 | 861.85 Mn |
| Aug 31, 2020 | 670.90 Mn |
| May 31, 2020 | 672.76 Mn |
Pricesmart Cost of 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=cost-of-revenue&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();