Pricesmart (PSMT) EPS (Diluted) (2010 - 2026)
Pricesmart (PSMT) posted EPS (Diluted) of $1.31 for fiscal Q3 2026 (quarter ended May 31, 2026), up 12.2% from $1.17 a year earlier but down 19.2% from the prior quarter.
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Analysis
Pricesmart (PSMT) EPS (Diluted) (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EPS (Diluted) at Pricesmart was $5.30, up 9.7% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $4.92, up 6.4% from FY2024.
- Annual EPS (Diluted) has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's EPS (Diluted) was $4.62 in FY2024 (+30.4%), $3.55 in FY2023 (+5.1%), $3.38 in FY2022 (+6.1%) and $3.18 in FY2021 (+24.5%).
- 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 six quarters, with growth averaging 18.8% 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 $1.62 (Q2 2026), $1.33 (Q1 2026) and $1.05 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 0.80 |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 4.93 |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 1.15 |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 1.05 |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 2.48 |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 7.37 |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 2.70 |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 1.24 |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 0.69 |
| 10 | Pricesmart | 5.26 Bn | 4.00 Bn | 262.22 Mn | 1.31 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 0.63 |
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();