Pricesmart (PSMT) Operating Leases (2019 - 2026)
Pricesmart's Operating Leases was $134.42 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 13.0% from $118.91 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Pricesmart (PSMT) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Operating Leases at Pricesmart came in at $122.24 million, up 17.7% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier fiscal years, Operating Leases was $103.89 million in FY2024 (-15.0%), $122.2 million in FY2023 (+3.1%), $118.5 million in FY2022 (-8.3%) and $129.26 million in FY2021 (+4.1%).
- Quarterly Operating Leases has moved between $103.89 million (fiscal Q4 2024) and $134.84 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Operating Leases has increased for five straight quarters, with growth averaging 7.5% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q2 2026 (growth of 26.7%); the worst was fiscal Q4 2024 (a decline of 15.0%).
- Per Business Quant data, PSMT's Operating Leases in the three fiscal quarters before Q3 2026 was $134.84 million (Q2 2026), $129.27 million (Q1 2026) and $122.24 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 946.96 Bn | 903.40 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 442.99 Bn | 366.27 Bn | 12.19 Bn |
| 3 | Sysco | 39.27 Bn | 33.52 Bn | 4.13 Bn |
| 4 | Kroger | 38.72 Bn | 24.88 Bn | 7.86 Bn |
| 5 | Dollar General | 29.61 Bn | 24.29 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.01 Bn | 24.00 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.79 Bn | 20.41 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.15 Bn | 21.95 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.29 Bn | 16.45 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.21 Bn | 3.95 Bn | 262.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 134.42 Mn |
| Feb 28, 2026 | 134.84 Mn |
| Nov 30, 2025 | 129.27 Mn |
| Aug 31, 2025 | 122.24 Mn |
| May 31, 2025 | 118.91 Mn |
| Feb 28, 2025 | 106.41 Mn |
| Nov 30, 2024 | 107.56 Mn |
| Aug 31, 2024 | 103.89 Mn |
| May 31, 2024 | 108.26 Mn |
| Feb 29, 2024 | 107.84 Mn |
| Nov 30, 2023 | 120.71 Mn |
| Aug 31, 2023 | 122.20 Mn |
| May 31, 2023 | 114.38 Mn |
| Feb 28, 2023 | 113.34 Mn |
| Nov 30, 2022 | 115.81 Mn |
| Aug 31, 2022 | 118.50 Mn |
| May 31, 2022 | 121.58 Mn |
| Feb 28, 2022 | 122.60 Mn |
| Nov 30, 2021 | 125.05 Mn |
| Aug 31, 2021 | 129.26 Mn |
API Access
Pricesmart Operating Leases 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=operating-leases&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();