Pricesmart (PSMT) Total Current Liabilities (2010 - 2026)
Pricesmart (PSMT) posted Total Current Liabilities of $833.01 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 18.7% from $701.79 million a year earlier and up 3.4% from the prior quarter.
Pricesmart (PSMT) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Total Current Liabilities came in at $726.27 million, up 6.8% from FY2024.
- Annual Total Current Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's Total Current Liabilities was $680.15 million in FY2024 (+7.2%), $634.48 million in FY2023 (+9.5%), $579.46 million in FY2022 (+8.6%) and $533.55 million in FY2021 (-6.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with growth averaging 7.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q2 2024, with growth of 20.8%; the weakest was fiscal Q4 2021, with a decline of 6.1%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $805.24 million (Q2 2026), $788.9 million (Q1 2026) and $726.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 946.96 Bn | 903.40 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 442.99 Bn | 366.27 Bn | 12.19 Bn | 43.95 Bn |
| 3 | Sysco | 39.27 Bn | 33.52 Bn | 4.13 Bn | 10.52 Bn |
| 4 | Kroger | 38.72 Bn | 24.88 Bn | 7.86 Bn | 18.42 Bn |
| 5 | Dollar General | 29.61 Bn | 24.29 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Caseys General Stores | 26.01 Bn | 24.00 Bn | 1.24 Bn | 1.36 Bn |
| 7 | Dollar Tree | 23.79 Bn | 20.41 Bn | 2.10 Bn | 3.30 Bn |
| 8 | US Foods Holding | 22.15 Bn | 21.95 Bn | 1.92 Bn | 3.91 Bn |
| 9 | Tractor Supply | 17.29 Bn | 16.45 Bn | 1.68 Bn | 3.19 Bn |
| 10 | Pricesmart | 5.21 Bn | 3.95 Bn | 262.22 Mn | 833.01 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 833.01 Mn |
| Feb 28, 2026 | 805.24 Mn |
| Nov 30, 2025 | 788.90 Mn |
| Aug 31, 2025 | 726.27 Mn |
| May 31, 2025 | 701.79 Mn |
| Feb 28, 2025 | 701.81 Mn |
| Nov 30, 2024 | 707.57 Mn |
| Aug 31, 2024 | 680.15 Mn |
| May 31, 2024 | 694.39 Mn |
| Feb 29, 2024 | 708.73 Mn |
| Nov 30, 2023 | 705.20 Mn |
| Aug 31, 2023 | 634.48 Mn |
| May 31, 2023 | 587.27 Mn |
| Feb 28, 2023 | 586.58 Mn |
| Nov 30, 2022 | 611.56 Mn |
| Aug 31, 2022 | 579.46 Mn |
| May 31, 2022 | 577.76 Mn |
| Feb 28, 2022 | 560.56 Mn |
| Nov 30, 2021 | 594.15 Mn |
| Aug 31, 2021 | 533.55 Mn |
Pricesmart Total 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-current-liabilities&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();