Pricesmart (PSMT) Receivables (2010 - 2026)
Pricesmart (PSMT) posted Receivables of $16.63 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), down 4.4% from $17.4 million a year earlier and down 16.2% from the prior quarter.
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Analysis
Pricesmart (PSMT) Receivables (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Pricesmart has reported Receivables for 63 quarters.
- Annual Receivables shows a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- In prior fiscal years, Pricesmart's Receivables was $17.4 million in FY2025 (-7.7%), $18.85 million in FY2024 (+5.3%), $17.9 million in FY2023 (+33.7%) and $13.39 million in FY2022 (+8.4%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Receivables since fiscal Q3 2023.
- On a year-over-year basis, Receivables increased in four of the last eight quarters, with growth averaging 4.7%.
- 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 $19.84 million (Q3 2026), $22.95 million (Q2 2026) and $20.79 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.32 Bn | 952.75 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 469.92 Bn | 393.20 Bn | 12.19 Bn | 3.96 Bn |
| 3 | Kroger | 40.99 Bn | 27.14 Bn | 7.86 Bn | 2.19 Bn |
| 4 | Sysco | 37.79 Bn | 29.71 Bn | 4.05 Bn | 12.10 Bn |
| 5 | Dollar General | 30.20 Bn | 24.88 Bn | 3.68 Bn | - |
| 6 | Dollar Tree | 26.17 Bn | 22.79 Bn | 2.10 Bn | - |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | 245.84 Mn |
| 8 | US Foods Holding | 23.76 Bn | 23.56 Bn | 1.90 Bn | 2.52 Bn |
| 9 | Tractor Supply | 19.62 Bn | 18.77 Bn | 1.42 Bn | - |
| 10 | Pricesmart | 5.00 Bn | 3.72 Bn | 266.81 Mn | 16.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 16.63 Mn |
| 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 |
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();