Pricesmart (PSMT) Other Non-Current Liabilities (2010 - 2026)
Pricesmart (PSMT) posted Other Non-Current Liabilities of $39.71 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 127.1% from $17.49 million a year earlier and up 35.8% from the prior quarter.
Pricesmart (PSMT) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Other Non-Current Liabilities came in at $19.82 million, up 33.6% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's Other Non-Current Liabilities was $14.84 million in FY2024 (-3.8%), $15.43 million in FY2023 (+82.8%), $8.44 million in FY2022 (-22.8%) and $10.93 million in FY2021 (-10.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last seven quarters, with growth averaging 34.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q3 2026, with growth of 127.1%; the weakest was fiscal Q1 2022, with a decline of 26.4%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $29.24 million (Q2 2026), $21.47 million (Q1 2026) and $19.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 940.48 Bn | 896.91 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 441.17 Bn | 364.45 Bn | 12.19 Bn |
| 3 | Sysco | 39.58 Bn | 33.83 Bn | 4.13 Bn |
| 4 | Kroger | 38.32 Bn | 24.47 Bn | 7.86 Bn |
| 5 | Dollar General | 29.60 Bn | 24.28 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.46 Bn | 23.46 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.74 Bn | 20.36 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.31 Bn | 16.48 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.27 Bn | 4.00 Bn | 262.22 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 44.26 Mn |
| Feb 28, 2026 | 33.73 Mn |
| Nov 30, 2025 | 26.55 Mn |
| Aug 31, 2025 | 24.25 Mn |
| May 31, 2025 | 22.13 Mn |
| Feb 28, 2025 | 22.16 Mn |
| Nov 30, 2024 | 19.36 Mn |
| Aug 31, 2024 | 19.60 Mn |
| May 31, 2024 | 22.33 Mn |
| Feb 29, 2024 | 22.24 Mn |
| Nov 30, 2023 | 19.63 Mn |
| Aug 31, 2023 | 20.47 Mn |
| May 31, 2023 | 15.41 Mn |
| Feb 28, 2023 | 13.85 Mn |
| Nov 30, 2022 | 13.81 Mn |
| Aug 31, 2022 | 13.65 Mn |
| May 31, 2022 | 14.04 Mn |
| Feb 28, 2022 | 14.29 Mn |
| Nov 30, 2021 | 15.74 Mn |
| Aug 31, 2021 | 15.09 Mn |
Pricesmart Other 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=other-non-current-liabilities&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();