Pricesmart (PSMT) Long-Term Debt Repayments (2010 - 2026)
Pricesmart (PSMT) reported Long-Term Debt Repayments of $4.51 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 1.4% from $4.44 million a year earlier but down 73.8% from the prior quarter.
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Analysis
Pricesmart (PSMT) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pricesmart's Long-Term Debt Repayments came in at $32.5 million, down 13.6% year-over-year; for FY2025 (ended Aug 31, 2025), it was $37.37 million, up 42.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $26.32 million in FY2024 (-26.9%), $35.98 million in FY2023 (+58.5%), $22.7 million in FY2022 (+13.5%) and $19.99 million in FY2021 (+31.8%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $4.44 million in fiscal Q3 2025 and a high of $19.94 million in fiscal Q1 2025.
- Year over year, Long-Term Debt Repayments gained in four of the last eight quarters, with growth averaging 38.9%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q1 2025 (growth of 311.3%); the low point was fiscal Q1 2026 (a decline of 69.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $17.22 million (Q2 2026), $6.14 million (Q1 2026) and $4.63 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 937.78 Bn | 894.21 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 441.38 Bn | 364.66 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Sysco | 39.24 Bn | 33.49 Bn | 4.13 Bn | 42.00 Mn |
| 4 | Kroger | 38.43 Bn | 24.58 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.42 Bn | 24.09 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 25.37 Bn | 23.37 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 23.90 Bn | 20.52 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.36 Bn | 22.16 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 17.11 Bn | 16.27 Bn | 1.68 Bn | 1.49 Bn |
| 10 | Pricesmart | 5.18 Bn | 3.92 Bn | 262.22 Mn | 4.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.51 Mn |
| Feb 28, 2026 | 17.22 Mn |
| Nov 30, 2025 | 6.14 Mn |
| Aug 31, 2025 | 4.63 Mn |
| May 31, 2025 | 4.44 Mn |
| Feb 28, 2025 | 8.36 Mn |
| Nov 30, 2024 | 19.94 Mn |
| Aug 31, 2024 | 4.89 Mn |
| May 31, 2024 | 5.05 Mn |
| Feb 29, 2024 | 11.53 Mn |
| Nov 30, 2023 | 4.85 Mn |
| Aug 31, 2023 | 4.58 Mn |
| May 31, 2023 | 14.41 Mn |
| Feb 28, 2023 | 11.88 Mn |
| Nov 30, 2022 | 5.11 Mn |
| Aug 31, 2022 | 4.89 Mn |
| May 31, 2022 | 6.84 Mn |
| Feb 28, 2022 | 4.84 Mn |
| Nov 30, 2021 | 6.13 Mn |
| Aug 31, 2021 | 6.86 Mn |
API Access
Pricesmart Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();