Pricesmart (PSMT) Total Debt (2010 - 2026)
Pricesmart's Total Debt was $183.15 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 50.4% from $121.8 million a year earlier and up 9.6% from the prior quarter.
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Analysis
Pricesmart (PSMT) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Total Debt at Pricesmart came in at $198.88 million, up 43.7% from FY2024.
- Total Debt shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier fiscal years, Total Debt was $138.37 million in FY2024 (-6.7%), $148.36 million in FY2023 (+0.3%), $147.88 million in FY2022 (+14.2%) and $129.51 million in FY2021 (-34.3%).
- Quarterly Total Debt has moved between $121.8 million (fiscal Q3 2025) and $198.88 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Total Debt has increased for four straight quarters, with growth averaging 16.2% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was fiscal Q1 2026 (growth of 52.4%); the worst was fiscal Q4 2021 (a decline of 34.3%).
- Per Business Quant data, PSMT's Total Debt in the three fiscal quarters before Q3 2026 was $167.13 million (Q2 2026), $188.03 million (Q1 2026) and $198.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 939.21 Bn | 895.64 Bn | 49.13 Bn | 50.41 Bn |
| 2 | Costco Wholesale | 441.35 Bn | 364.63 Bn | 12.19 Bn | 6.16 Bn |
| 3 | Sysco | 39.58 Bn | 33.83 Bn | 4.13 Bn | 13.52 Bn |
| 4 | Kroger | 37.97 Bn | 24.12 Bn | 7.86 Bn | 17.00 Bn |
| 5 | Dollar General | 29.55 Bn | 24.23 Bn | 3.68 Bn | 4.57 Bn |
| 6 | Caseys General Stores | 25.39 Bn | 23.38 Bn | 1.24 Bn | 2.43 Bn |
| 7 | Dollar Tree | 23.70 Bn | 20.32 Bn | 2.10 Bn | 2.93 Bn |
| 8 | US Foods Holding | 22.38 Bn | 22.18 Bn | 1.92 Bn | 5.41 Bn |
| 9 | Tractor Supply | 17.15 Bn | 16.32 Bn | 1.68 Bn | 2.15 Bn |
| 10 | Pricesmart | 5.27 Bn | 4.00 Bn | 262.22 Mn | 183.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 183.15 Mn |
| Feb 28, 2026 | 167.13 Mn |
| Nov 30, 2025 | 188.03 Mn |
| Aug 31, 2025 | 198.88 Mn |
| May 31, 2025 | 121.80 Mn |
| Feb 28, 2025 | 122.45 Mn |
| Nov 30, 2024 | 123.39 Mn |
| Aug 31, 2024 | 138.37 Mn |
| May 31, 2024 | 145.18 Mn |
| Feb 29, 2024 | 146.07 Mn |
| Nov 30, 2023 | 144.18 Mn |
| Aug 31, 2023 | 148.36 Mn |
| May 31, 2023 | 154.80 Mn |
| Feb 28, 2023 | 163.94 Mn |
| Nov 30, 2022 | 162.84 Mn |
| Aug 31, 2022 | 147.88 Mn |
| May 31, 2022 | 157.79 Mn |
| Feb 28, 2022 | 164.16 Mn |
| Nov 30, 2021 | 132.43 Mn |
| Aug 31, 2021 | 129.51 Mn |
API Access
Pricesmart Total Debt 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=total-debt&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();