Pricesmart (PSMT) Total Debt (2010 - 2026)
Pricesmart's Total Debt was $169.41 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), down 14.8% from $198.88 million a year earlier and down 7.5% from the prior quarter.
Pricesmart (PSMT) Total Debt (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Pricesmart has reported Total Debt for 63 quarters.
- Total Debt shows a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Debt was $198.88 million in FY2025 (+43.7%), $138.37 million in FY2024 (-6.7%), $148.36 million in FY2023 (+0.3%) and $147.88 million in FY2022 (+14.2%).
- 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 was higher in four of the last eight quarters, with growth averaging 15.2%.
- The best year-over-year quarter for Total Debt over five years was fiscal Q1 2026 (growth of 52.4%); the worst was fiscal Q1 2022 (a decline of 24.4%).
- Per Business Quant data, PSMT's Total Debt in the three fiscal quarters before Q4 2026 was $183.15 million (Q3 2026), $167.13 million (Q2 2026) and $188.03 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.32 Bn | 952.75 Bn | 49.13 Bn | 50.41 Bn |
| 2 | Costco Wholesale | 469.92 Bn | 393.20 Bn | 12.19 Bn | 6.16 Bn |
| 3 | Kroger | 40.99 Bn | 27.14 Bn | 7.86 Bn | 17.00 Bn |
| 4 | Sysco | 37.79 Bn | 29.71 Bn | 4.05 Bn | 13.82 Bn |
| 5 | Dollar General | 30.20 Bn | 24.88 Bn | 3.68 Bn | 4.57 Bn |
| 6 | Dollar Tree | 26.17 Bn | 22.79 Bn | 2.10 Bn | 2.93 Bn |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | 2.43 Bn |
| 8 | US Foods Holding | 23.76 Bn | 23.56 Bn | 1.90 Bn | 5.27 Bn |
| 9 | Tractor Supply | 19.62 Bn | 18.77 Bn | 1.42 Bn | 2.23 Bn |
| 10 | Pricesmart | 5.00 Bn | 3.72 Bn | 266.81 Mn | 169.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 169.41 Mn |
| 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 |
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_KEY
import 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();