Pricesmart (PSMT) Prepaid Assets (2010 - 2026)
Pricesmart's Prepaid Assets came in at $88.29 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 45.8% from $60.55 million a year earlier and up 8.6% from the prior quarter.
Pricesmart (PSMT) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Prepaid Assets was $71.06 million, up 22.7% from FY2024.
- Prepaid Assets has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Going back by fiscal year, Prepaid Assets was $57.91 million in FY2024 (+7.5%), $53.87 million in FY2023 (+22.7%), $43.89 million in FY2022 (+12.0%) and $39.19 million in FY2021 (+29.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Prepaid Assets in data going back to fiscal Q4 2010.
- Year-over-year, Prepaid Assets has increased for five consecutive quarters, with growth averaging 19.1% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in fiscal Q1 2024 (growth of 52.0%), and the weakest in fiscal Q1 2025 (a decline of 15.3%).
- Business Quant data shows PSMT's Prepaid Assets at $81.31 million (Q2 2026), $83.19 million (Q1 2026) and $71.06 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn |
| 10 | Pricesmart | 5.25 Bn | 3.98 Bn | 262.22 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 88.29 Mn |
| Feb 28, 2026 | 81.31 Mn |
| Nov 30, 2025 | 83.19 Mn |
| Aug 31, 2025 | 71.06 Mn |
| May 31, 2025 | 60.55 Mn |
| Feb 28, 2025 | 54.28 Mn |
| Nov 30, 2024 | 57.56 Mn |
| Aug 31, 2024 | 57.91 Mn |
| May 31, 2024 | 57.52 Mn |
| Feb 29, 2024 | 58.51 Mn |
| Nov 30, 2023 | 67.97 Mn |
| Aug 31, 2023 | 53.87 Mn |
| May 31, 2023 | 51.32 Mn |
| Feb 28, 2023 | 46.91 Mn |
| Nov 30, 2022 | 44.73 Mn |
| Aug 31, 2022 | 43.89 Mn |
| May 31, 2022 | 44.06 Mn |
| Feb 28, 2022 | 46.16 Mn |
| Nov 30, 2021 | 46.64 Mn |
| Aug 31, 2021 | 39.19 Mn |
Pricesmart Prepaid Assets 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=prepaid-assets&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();