Pricesmart (PSMT) Payables (2010 - 2026)
Pricesmart's Payables was $581.79 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 8.3% from $537.18 million a year earlier and unchanged from the prior quarter.
Pricesmart (PSMT) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Payables at Pricesmart came in at $519.24 million, up 5.1% from FY2024.
- Payables has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In earlier fiscal years, Payables was $493.97 million in FY2024 (+6.9%), $461.91 million in FY2023 (+10.2%), $419.02 million in FY2022 (+7.8%) and $388.79 million in FY2021 (-11.3%).
- Quarterly Payables has moved between $388.79 million (fiscal Q4 2021) and $582.01 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Payables has increased for 14 straight quarters, with growth averaging 5.3% over the last eight quarters.
- The best year-over-year quarter for Payables over five years was fiscal Q2 2024 (growth of 23.1%); the worst was fiscal Q4 2021 (a decline of 11.3%).
- Per Business Quant data, PSMT's Payables in the three fiscal quarters before Q3 2026 was $582.01 million (Q2 2026), $579.28 million (Q1 2026) and $519.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 78.75 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 22.59 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 6.64 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 10.78 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 2.96 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 1.76 Bn |
| 10 | Pricesmart | 5.25 Bn | 3.98 Bn | 262.22 Mn | 581.79 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 581.79 Mn |
| Feb 28, 2026 | 582.01 Mn |
| Nov 30, 2025 | 579.28 Mn |
| Aug 31, 2025 | 519.24 Mn |
| May 31, 2025 | 537.18 Mn |
| Feb 28, 2025 | 532.48 Mn |
| Nov 30, 2024 | 544.84 Mn |
| Aug 31, 2024 | 493.97 Mn |
| May 31, 2024 | 519.05 Mn |
| Feb 29, 2024 | 530.95 Mn |
| Nov 30, 2023 | 531.77 Mn |
| Aug 31, 2023 | 461.91 Mn |
| May 31, 2023 | 442.05 Mn |
| Feb 28, 2023 | 431.17 Mn |
| Nov 30, 2022 | 457.62 Mn |
| Aug 31, 2022 | 419.02 Mn |
| May 31, 2022 | 422.30 Mn |
| Feb 28, 2022 | 409.55 Mn |
| Nov 30, 2021 | 466.03 Mn |
| Aug 31, 2021 | 388.79 Mn |
Pricesmart Payables 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=payables&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();