Pricesmart (PSMT) Receivables (2010 - 2026)
Pricesmart (PSMT) posted Receivables of $19.84 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 6.6% from $21.25 million a year earlier and down 13.6% from the prior quarter.
Powered by 
Analysis
Pricesmart (PSMT) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Receivables came in at $17.4 million, down 7.7% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's Receivables was $18.85 million in FY2024 (+5.3%), $17.9 million in FY2023 (+33.7%), $13.39 million in FY2022 (+8.4%) and $12.36 million in FY2021 (-6.0%).
- Quarterly Receivables has run from a low of $12.36 million in fiscal Q4 2021 to a high of $23.61 million in fiscal Q1 2025 over five years.
- On a year-over-year basis, Receivables increased in five of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q1 2025, with growth of 33.8%; the weakest was fiscal Q1 2026, with a decline of 11.9%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $22.95 million (Q2 2026), $20.79 million (Q1 2026) and $17.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.70 Bn | 901.13 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 442.50 Bn | 365.78 Bn | 12.19 Bn | 3.96 Bn |
| 3 | Sysco | 39.60 Bn | 33.85 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 37.91 Bn | 24.06 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 29.61 Bn | 24.29 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 25.56 Bn | 23.56 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 23.85 Bn | 20.47 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.40 Bn | 22.20 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 17.30 Bn | 16.46 Bn | 1.68 Bn | - |
| 10 | Pricesmart | 5.28 Bn | 4.02 Bn | 262.22 Mn | 19.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 19.84 Mn |
| Feb 28, 2026 | 22.95 Mn |
| Nov 30, 2025 | 20.79 Mn |
| Aug 31, 2025 | 17.40 Mn |
| May 31, 2025 | 21.25 Mn |
| Feb 28, 2025 | 20.40 Mn |
| Nov 30, 2024 | 23.61 Mn |
| Aug 31, 2024 | 18.85 Mn |
| May 31, 2024 | 17.84 Mn |
| Feb 29, 2024 | 19.82 Mn |
| Nov 30, 2023 | 17.65 Mn |
| Aug 31, 2023 | 17.90 Mn |
| May 31, 2023 | 15.03 Mn |
| Feb 28, 2023 | 16.40 Mn |
| Nov 30, 2022 | 18.76 Mn |
| Aug 31, 2022 | 13.39 Mn |
| May 31, 2022 | 14.57 Mn |
| Feb 28, 2022 | 15.00 Mn |
| Nov 30, 2021 | 15.57 Mn |
| Aug 31, 2021 | 12.36 Mn |
API Access
Pricesmart Receivables 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=receivables&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();