Pricesmart (PSMT) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Pricesmart (PSMT) posted Non-Current Debt of $102.95 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 30.4% from $147.92 million a year earlier and down 10.0% from the prior quarter.
Pricesmart (PSMT) Net Long-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Pricesmart has reported Non-Current Debt for 63 quarters.
- Annual Non-Current Debt shows a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- In prior fiscal years, Pricesmart's Non-Current Debt was $147.92 million in FY2025 (+56.6%), $94.44 million in FY2024 (-21.0%), $119.49 million in FY2023 (+15.4%) and $103.56 million in FY2022 (-6.0%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Non-Current Debt since fiscal Q3 2025.
- On a year-over-year basis, Non-Current Debt increased in four of the last eight quarters, with growth averaging 15.8%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was fiscal Q4 2025, with growth of 56.6%; the weakest was fiscal Q4 2026, with a decline of 30.4%.
- According to Business Quant data, Non-Current Debt for the three prior fiscal quarters was $114.37 million (Q3 2026), $129.15 million (Q2 2026) and $143.74 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.32 Bn | 952.75 Bn | 49.13 Bn | -799.00 Mn |
| 2 | Costco Wholesale | 469.92 Bn | 393.20 Bn | 12.19 Bn | 57.00 Mn |
| 3 | Kroger | 40.99 Bn | 27.14 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.79 Bn | 29.71 Bn | 4.05 Bn | 22.00 Mn |
| 5 | Dollar General | 30.20 Bn | 24.88 Bn | 3.68 Bn | -7.80 Mn |
| 6 | Dollar Tree | 26.17 Bn | 22.79 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | -2.58 Mn |
| 8 | US Foods Holding | 23.76 Bn | 23.56 Bn | 1.90 Bn | -165.00 Mn |
| 9 | Tractor Supply | 19.62 Bn | 18.77 Bn | 1.42 Bn | 79.26 Mn |
| 10 | Pricesmart | 5.00 Bn | 3.72 Bn | 266.81 Mn | -12.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -12.13 Mn |
| May 31, 2026 | 16.33 Mn |
| Feb 28, 2026 | -17.22 Mn |
| Nov 30, 2025 | -6.14 Mn |
| Aug 31, 2025 | 82.86 Mn |
| May 31, 2025 | -4.44 Mn |
| Feb 28, 2025 | -8.36 Mn |
| Nov 30, 2024 | -14.50 Mn |
| Aug 31, 2024 | -4.89 Mn |
| May 31, 2024 | -5.05 Mn |
| Feb 29, 2024 | 4.97 Mn |
| Nov 30, 2023 | -4.85 Mn |
| Aug 31, 2023 | -4.58 Mn |
| May 31, 2023 | -9.41 Mn |
| Feb 28, 2023 | 1.92 Mn |
| Nov 30, 2022 | 14.80 Mn |
| Aug 31, 2022 | -4.89 Mn |
| May 31, 2022 | -6.38 Mn |
| Feb 28, 2022 | 21.13 Mn |
| Nov 30, 2021 | -1.92 Mn |
Pricesmart Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();