Pricesmart (PSMT) EPS (Diluted) (2010 - 2026)
Pricesmart (PSMT) posted EPS (Diluted) of $1.24 for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 18.6% from $1.05 a year earlier but down 5.1% from the prior quarter.
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Analysis
Pricesmart (PSMT) EPS (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Pricesmart's EPS (Diluted) came in at $5.51, up 12.0% from FY2025.
- Annual EPS (Diluted) has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- In prior fiscal years, Pricesmart's EPS (Diluted) was $4.92 in FY2025 (+6.4%), $4.62 in FY2024 (+30.4%), $3.55 in FY2023 (+5.1%) and $3.38 in FY2022 (+6.1%).
- Quarterly EPS (Diluted) has run from a low of $0.50 in fiscal Q4 2023 to a high of $1.62 in fiscal Q2 2026 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last seven quarters, with growth averaging 9.4% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q4 2024, with growth of 93.7%; the weakest was fiscal Q4 2023, with a decline of 33.3%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $1.31 (Q3 2026), $1.62 (Q2 2026) and $1.33 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.87 Bn | 953.31 Bn | 49.13 Bn | 0.80 |
| 2 | Costco Wholesale | 470.05 Bn | 393.33 Bn | 12.19 Bn | 6.75 |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 1.05 |
| 4 | Sysco | 37.76 Bn | 29.68 Bn | 4.05 Bn | 1.09 |
| 5 | Dollar General | 30.25 Bn | 24.93 Bn | 3.68 Bn | 2.48 |
| 6 | Dollar Tree | 26.22 Bn | 22.84 Bn | 2.10 Bn | 2.70 |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | 7.37 |
| 8 | US Foods Holding | 23.79 Bn | 23.59 Bn | 1.90 Bn | 1.00 |
| 9 | Tractor Supply | 19.63 Bn | 18.78 Bn | 1.42 Bn | 0.43 |
| 10 | Pricesmart | 5.01 Bn | 3.73 Bn | 266.81 Mn | 1.24 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.24 |
| May 31, 2026 | 1.31 |
| Feb 28, 2026 | 1.62 |
| Nov 30, 2025 | 1.33 |
| Aug 31, 2025 | 1.05 |
| May 31, 2025 | 1.17 |
| Feb 28, 2025 | 1.46 |
| Nov 30, 2024 | 1.25 |
| Aug 31, 2024 | 0.97 |
| May 31, 2024 | 1.08 |
| Feb 29, 2024 | 1.31 |
| Nov 30, 2023 | 1.26 |
| Aug 31, 2023 | 0.50 |
| May 31, 2023 | 0.96 |
| Feb 28, 2023 | 1.02 |
| Nov 30, 2022 | 1.05 |
| Aug 31, 2022 | 0.75 |
| May 31, 2022 | 0.62 |
| Feb 28, 2022 | 1.03 |
| Nov 30, 2021 | 0.98 |
API Access
Pricesmart EPS (Diluted) 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=eps-diluted&ticker=PSMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();