Pricesmart (PSMT) Total Non-Current Liabilities (2010 - 2026)
Pricesmart (PSMT) posted Total Non-Current Liabilities of $1.09 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 19.1% from $912.76 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Pricesmart (PSMT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Total Non-Current Liabilities came in at $1 billion.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's Total Non-Current Liabilities was $9,000 in FY2023 (-100.0%), $808.89 million in FY2022 (+3.9%) and $778.65 million in FY2021 (-4.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 8.5% over the last six quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q3 2026, with growth of 19.1%; the weakest was fiscal Q4 2023, with a decline of 100.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $1.07 billion (Q2 2026), $1.07 billion (Q1 2026) and $1 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 941.04 Bn | 897.47 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 441.07 Bn | 364.35 Bn | 12.19 Bn | 50.28 Bn |
| 3 | Sysco | 39.58 Bn | 33.83 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 38.20 Bn | 24.35 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 29.56 Bn | 24.23 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 25.45 Bn | 23.45 Bn | 1.24 Bn | 4.92 Bn |
| 7 | Dollar Tree | 23.72 Bn | 20.35 Bn | 2.10 Bn | 10.31 Bn |
| 8 | US Foods Holding | 22.35 Bn | 22.15 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 17.24 Bn | 16.41 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Pricesmart | 5.27 Bn | 4.01 Bn | 262.22 Mn | 1.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.08 Bn |
| Feb 28, 2026 | 1.07 Bn |
| Nov 30, 2025 | 1.06 Bn |
| Aug 31, 2025 | 997.54 Mn |
| May 31, 2025 | 908.12 Mn |
| Feb 28, 2025 | 897.92 Mn |
| Nov 30, 2024 | 909.74 Mn |
| May 31, 2024 | 903.02 Mn |
| Feb 29, 2024 | 920.66 Mn |
| Nov 30, 2023 | 927.40 Mn |
| Aug 31, 2023 | 9,000.00 |
| May 31, 2023 | 828.24 Mn |
| Feb 28, 2023 | 828.41 Mn |
| Nov 30, 2022 | 847.75 Mn |
| Aug 31, 2022 | 803.67 Mn |
| May 31, 2022 | 809.52 Mn |
| Feb 28, 2022 | 805.16 Mn |
| Nov 30, 2021 | 831.43 Mn |
| Aug 31, 2021 | 774.49 Mn |
| May 31, 2021 | 717.56 Mn |
API Access
Pricesmart Total Non-Current Liabilities 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-non-current-liabilities&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();