Pricesmart (PSMT) Cash & Equivalents (2010 - 2026)
Pricesmart's Cash & Equivalents was $208.44 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 24.1% from $167.96 million a year earlier and up 33.4% from the prior quarter.
Powered by 
Analysis
Pricesmart (PSMT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Cash & Equivalents at Pricesmart came in at $241.02 million, up 92.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $125.36 million in FY2024 (-47.8%), $239.98 million in FY2023 (+1.0%), $237.71 million in FY2022 (+17.6%) and $202.06 million in FY2021 (-32.5%).
- Quarterly Cash & Equivalents has moved between $120.94 million (fiscal Q1 2025) and $267.94 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for five straight quarters, with growth averaging 17.0% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2025 (growth of 92.3%); the worst was fiscal Q4 2024 (a decline of 47.8%).
- Per Business Quant data, PSMT's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $156.25 million (Q2 2026), $206.42 million (Q1 2026) and $241.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 942.37 Bn | 898.80 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 446.59 Bn | 369.87 Bn | 12.19 Bn | 20.21 Bn |
| 3 | Sysco | 39.87 Bn | 34.12 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 39.64 Bn | 25.79 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 29.92 Bn | 24.60 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 26.00 Bn | 23.99 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 24.18 Bn | 20.80 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 22.52 Bn | 22.31 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.49 Bn | 15.66 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Pricesmart | 5.15 Bn | 3.88 Bn | 262.22 Mn | 208.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 208.44 Mn |
| Feb 28, 2026 | 156.25 Mn |
| Nov 30, 2025 | 206.42 Mn |
| Aug 31, 2025 | 241.02 Mn |
| May 31, 2025 | 167.96 Mn |
| Feb 28, 2025 | 130.36 Mn |
| Nov 30, 2024 | 120.94 Mn |
| Aug 31, 2024 | 125.36 Mn |
| May 31, 2024 | 128.27 Mn |
| Feb 29, 2024 | 170.56 Mn |
| Nov 30, 2023 | 174.45 Mn |
| Aug 31, 2023 | 239.98 Mn |
| May 31, 2023 | 222.67 Mn |
| Feb 28, 2023 | 260.93 Mn |
| Nov 30, 2022 | 267.94 Mn |
| Aug 31, 2022 | 237.71 Mn |
| May 31, 2022 | 207.53 Mn |
| Feb 28, 2022 | 178.71 Mn |
| Nov 30, 2021 | 176.07 Mn |
| Aug 31, 2021 | 202.06 Mn |
API Access
Pricesmart Cash & Equivalents 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=cash-and-equivalents&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();