Pricesmart (PSMT) Change in Inventory (2010 - 2026)
Pricesmart (PSMT) reported Change in Inventory of -$90,000 for fiscal Q3 2026 (quarter ended May 31, 2026), compared with $3.44 million a year earlier.
Pricesmart (PSMT) Change in Inventory (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Change in Inventory came in at $69.93 million, up 90.8% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $32.05 million, down 44.0% from FY2024.
- By fiscal year, Change in Inventory came in at $57.27 million in FY2024 (+463.0%), $10.17 million in FY2023 (-86.4%), $74.71 million in FY2022 (-6.9%) and $80.2 million in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Change in Inventory since fiscal Q2 2025.
- Year over year, Change in Inventory gained in 1 of the last five quarters, with an average decline of 35.2%.
- The high point for year-over-year Change in Inventory in five years was fiscal Q4 2023 (growth of 827.9%); the low point was fiscal Q4 2022 (a decline of 93.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.29 million (Q2 2026), $58.12 million (Q1 2026) and $7.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | -87.00 Mn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 60.00 Mn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | -69.86 Mn |
| 10 | Pricesmart | 5.25 Bn | 3.98 Bn | 262.22 Mn | -90,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -90,000.00 |
| Feb 28, 2026 | 4.29 Mn |
| Nov 30, 2025 | 58.12 Mn |
| Aug 31, 2025 | 7.61 Mn |
| May 31, 2025 | 3.44 Mn |
| Feb 28, 2025 | -36.16 Mn |
| Nov 30, 2024 | 57.17 Mn |
| Aug 31, 2024 | 12.21 Mn |
| May 31, 2024 | 14.17 Mn |
| Feb 29, 2024 | -27.61 Mn |
| Nov 30, 2023 | 58.49 Mn |
| Aug 31, 2023 | 32.00 Mn |
| May 31, 2023 | -6.52 Mn |
| Feb 28, 2023 | -60.96 Mn |
| Nov 30, 2022 | 45.65 Mn |
| Aug 31, 2022 | 3.45 Mn |
| May 31, 2022 | -9.35 Mn |
| Feb 28, 2022 | -30.45 Mn |
| Nov 30, 2021 | 111.06 Mn |
| Aug 31, 2021 | 53.07 Mn |
Pricesmart Change in 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=change-in-inventory&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();