Pricesmart (PSMT) Current Assets (2010 - 2026)
Pricesmart's Current Assets was $1.06 billion in fiscal Q3 2026 (quarter ended May 31, 2026), up 18.1% from $900.78 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Pricesmart (PSMT) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Current Assets at Pricesmart came in at $974.46 million, up 17.1% from FY2024.
- Current Assets shows a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In earlier fiscal years, Current Assets was $832.35 million in FY2024 (-5.1%), $877.11 million in FY2023 (+13.4%), $773.58 million in FY2022 (+11.0%) and $697.2 million in FY2021 (-0.3%).
- The fiscal Q3 2026 figure marks the highest quarterly Current Assets in data going back to fiscal Q4 2010.
- Compared with a year earlier, Current Assets has increased for seven straight quarters, with growth averaging 10.1% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was fiscal Q2 2026 (growth of 19.1%); the worst was fiscal Q4 2024 (a decline of 5.1%).
- Per Business Quant data, PSMT's Current Assets in the three fiscal quarters before Q3 2026 was $1.04 billion (Q2 2026), $1.05 billion (Q1 2026) and $974.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.42 Bn | 892.86 Bn | 49.13 Bn | 88.70 Bn |
| 2 | Costco Wholesale | 442.57 Bn | 365.85 Bn | 12.19 Bn | 46.58 Bn |
| 3 | Sysco | 39.37 Bn | 33.61 Bn | 4.13 Bn | 13.44 Bn |
| 4 | Kroger | 38.75 Bn | 24.90 Bn | 7.86 Bn | 12.93 Bn |
| 5 | Dollar General | 29.24 Bn | 23.92 Bn | 3.68 Bn | 8.78 Bn |
| 6 | Caseys General Stores | 25.63 Bn | 23.62 Bn | 1.24 Bn | 1.39 Bn |
| 7 | Dollar Tree | 23.99 Bn | 20.61 Bn | 2.10 Bn | 3.74 Bn |
| 8 | US Foods Holding | 22.38 Bn | 22.18 Bn | 1.92 Bn | 4.45 Bn |
| 9 | Tractor Supply | 17.03 Bn | 16.20 Bn | 1.68 Bn | 4.25 Bn |
| 10 | Pricesmart | 5.19 Bn | 3.92 Bn | 262.22 Mn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.06 Bn |
| Feb 28, 2026 | 1.04 Bn |
| Nov 30, 2025 | 1.05 Bn |
| Aug 31, 2025 | 974.46 Mn |
| May 31, 2025 | 900.78 Mn |
| Feb 28, 2025 | 875.14 Mn |
| Nov 30, 2024 | 892.52 Mn |
| Aug 31, 2024 | 832.35 Mn |
| May 31, 2024 | 822.83 Mn |
| Feb 29, 2024 | 847.65 Mn |
| Nov 30, 2023 | 880.84 Mn |
| Aug 31, 2023 | 877.11 Mn |
| May 31, 2023 | 847.19 Mn |
| Feb 28, 2023 | 836.77 Mn |
| Nov 30, 2022 | 853.29 Mn |
| Aug 31, 2022 | 773.58 Mn |
| May 31, 2022 | 749.87 Mn |
| Feb 28, 2022 | 741.28 Mn |
| Nov 30, 2021 | 782.42 Mn |
| Aug 31, 2021 | 697.20 Mn |
API Access
Pricesmart Current Assets 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=current-assets&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();