Pricesmart (PSMT) Retained Earnings (2010 - 2026)
Pricesmart's Retained Earnings came in at $1.09 billion for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.1% from $967.83 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Pricesmart (PSMT) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pricesmart's Retained Earnings was $999.43 million, up 12.3% from FY2024.
- Retained Earnings has increased in each of the last 14 fiscal years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- Going back by fiscal year, Retained Earnings was $890.27 million in FY2024 (+8.9%), $817.56 million in FY2023 (+10.9%), $736.89 million in FY2022 (+11.8%) and $658.92 million in FY2021 (+13.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- Year-over-year, Retained Earnings has increased for 57 consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 7.4% (fiscal Q3 2024) to 13.1% (fiscal Q4 2021).
- Business Quant data shows PSMT's Retained Earnings at $1.05 billion (Q2 2026), $1.04 billion (Q1 2026) and $999.43 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 937.42 Bn | 893.85 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 442.56 Bn | 365.84 Bn | 12.19 Bn | 28.59 Bn |
| 3 | Sysco | 39.28 Bn | 33.52 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 38.65 Bn | 24.80 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 29.35 Bn | 24.02 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 25.54 Bn | 23.53 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 24.07 Bn | 20.70 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.21 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Pricesmart | 5.20 Bn | 3.94 Bn | 262.22 Mn | 1.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.09 Bn |
| Feb 28, 2026 | 1.05 Bn |
| Nov 30, 2025 | 1.04 Bn |
| Aug 31, 2025 | 999.43 Mn |
| May 31, 2025 | 967.83 Mn |
| Feb 28, 2025 | 932.67 Mn |
| Nov 30, 2024 | 927.70 Mn |
| Aug 31, 2024 | 890.27 Mn |
| May 31, 2024 | 861.16 Mn |
| Feb 29, 2024 | 859.33 Mn |
| Nov 30, 2023 | 855.61 Mn |
| Aug 31, 2023 | 817.56 Mn |
| May 31, 2023 | 802.00 Mn |
| Feb 28, 2023 | 772.43 Mn |
| Nov 30, 2022 | 769.80 Mn |
| Aug 31, 2022 | 736.89 Mn |
| May 31, 2022 | 713.44 Mn |
| Feb 28, 2022 | 694.19 Mn |
| Nov 30, 2021 | 689.43 Mn |
| Aug 31, 2021 | 658.92 Mn |
API Access
Pricesmart Retained Earnings 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=retained-earnings&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();