Pricesmart (PSMT) Inventory (2010 - 2026)
Pricesmart's Inventory came in at $617.24 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 10.1% from $560.73 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Pricesmart (PSMT) Inventory (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Pricesmart's Inventory data covers 63 quarters.
- Inventory has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $560.73 million in FY2025 (+6.1%), $528.68 million in FY2024 (+12.1%), $471.41 million in FY2023 (+1.5%) and $464.41 million in FY2022 (+19.2%).
- The five-year range for quarterly Inventory is $442.58 million (fiscal Q3 2023) to $623.14 million (fiscal Q2 2026).
- Year-over-year, Inventory has increased for 13 consecutive quarters, with growth averaging 9.4% 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 $623.05 million (Q3 2026), $623.14 million (Q2 2026) and $618.85 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.32 Bn | 952.75 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 469.92 Bn | 393.20 Bn | 12.19 Bn | 19.32 Bn |
| 3 | Kroger | 40.99 Bn | 27.14 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.79 Bn | 29.71 Bn | 4.05 Bn | - |
| 5 | Dollar General | 30.20 Bn | 24.88 Bn | 3.68 Bn | 6.55 Bn |
| 6 | Dollar Tree | 26.17 Bn | 22.79 Bn | 2.10 Bn | 2.45 Bn |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | 557.97 Mn |
| 8 | US Foods Holding | 23.76 Bn | 23.56 Bn | 1.90 Bn | 1.73 Bn |
| 9 | Tractor Supply | 19.62 Bn | 18.77 Bn | 1.42 Bn | 3.62 Bn |
| 10 | Pricesmart | 5.00 Bn | 3.72 Bn | 266.81 Mn | 617.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 617.24 Mn |
| 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 |
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();