Pricesmart (PSMT) Inventory (2010 - 2026)
Pricesmart's Inventory came in at $623.05 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.6% from $553.12 million a year earlier and unchanged from the prior quarter.
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Analysis
Pricesmart (PSMT) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Inventory was $560.73 million, up 6.1% from FY2024.
- Inventory has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $528.68 million in FY2024 (+12.1%), $471.41 million in FY2023 (+1.5%), $464.41 million in FY2022 (+19.2%) and $389.71 million in FY2021 (+25.9%).
- The five-year range for quarterly Inventory is $389.71 million (fiscal Q4 2021) to $623.14 million (fiscal Q2 2026).
- Year-over-year, Inventory has increased for 12 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q2 2022 (growth of 38.6%), and the weakest in fiscal Q2 2023 (a decline of 4.5%).
- Business Quant data shows PSMT's Inventory at $623.14 million (Q2 2026), $618.85 million (Q1 2026) and $560.73 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 940.16 Bn | 896.60 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 441.91 Bn | 365.19 Bn | 12.19 Bn | 19.32 Bn |
| 3 | Sysco | 39.57 Bn | 33.82 Bn | 4.13 Bn | - |
| 4 | Kroger | 38.12 Bn | 24.27 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.62 Bn | 24.30 Bn | 3.68 Bn | 6.55 Bn |
| 6 | Caseys General Stores | 25.43 Bn | 23.42 Bn | 1.24 Bn | 557.97 Mn |
| 7 | Dollar Tree | 23.72 Bn | 20.34 Bn | 2.10 Bn | 2.45 Bn |
| 8 | US Foods Holding | 22.36 Bn | 22.15 Bn | 1.92 Bn | 1.70 Bn |
| 9 | Tractor Supply | 17.18 Bn | 16.35 Bn | 1.68 Bn | 3.52 Bn |
| 10 | Pricesmart | 5.28 Bn | 4.01 Bn | 262.22 Mn | 623.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 623.05 Mn |
| Feb 28, 2026 | 623.14 Mn |
| Nov 30, 2025 | 618.85 Mn |
| Aug 31, 2025 | 560.73 Mn |
| May 31, 2025 | 553.12 Mn |
| Feb 28, 2025 | 549.69 Mn |
| Nov 30, 2024 | 585.85 Mn |
| Aug 31, 2024 | 528.68 Mn |
| May 31, 2024 | 516.46 Mn |
| Feb 29, 2024 | 502.29 Mn |
| Nov 30, 2023 | 529.90 Mn |
| Aug 31, 2023 | 471.41 Mn |
| May 31, 2023 | 442.58 Mn |
| Feb 28, 2023 | 449.10 Mn |
| Nov 30, 2022 | 510.06 Mn |
| Aug 31, 2022 | 464.41 Mn |
| May 31, 2022 | 460.96 Mn |
| Feb 28, 2022 | 470.31 Mn |
| Nov 30, 2021 | 500.77 Mn |
| Aug 31, 2021 | 389.71 Mn |
API Access
Pricesmart Inventory 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=inventory&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();