Pricesmart (PSMT) Shares Outstanding (2010 - 2026)
Pricesmart (PSMT) posted Shares Outstanding of 30.24 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.6% from 30.07 million a year earlier and unchanged from the prior quarter.
Pricesmart (PSMT) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Pricesmart's Shares Outstanding came in at 30.06 million, up 0.1% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In prior fiscal years, Pricesmart's Shares Outstanding was 30.03 million in FY2024 (-2.4%), 30.76 million in FY2023 (+0.6%), 30.59 million in FY2022 (+0.6%) and 30.4 million in FY2021 (+0.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Shares Outstanding since fiscal Q1 2024.
- On a year-over-year basis, Shares Outstanding has increased in each of the last six quarters, with an average decline of 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was fiscal Q2 2022, with growth of 0.7%; the weakest was fiscal Q3 2024, with a decline of 2.7%.
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 30.23 million (Q2 2026), 30.17 million (Q1 2026) and 30.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 7.95 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 443.92 Mn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 479.12 Mn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 606.00 Mn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 220.61 Mn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 36.97 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 190.60 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 219.00 Mn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 523.73 Mn |
| 10 | Pricesmart | 5.26 Bn | 4.00 Bn | 262.22 Mn | 30.24 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 30.24 Mn |
| Feb 28, 2026 | 30.23 Mn |
| Nov 30, 2025 | 30.17 Mn |
| Aug 31, 2025 | 30.06 Mn |
| May 31, 2025 | 30.07 Mn |
| Feb 28, 2025 | 30.06 Mn |
| Nov 30, 2024 | 30.02 Mn |
| Aug 31, 2024 | 30.03 Mn |
| May 31, 2024 | 29.97 Mn |
| Feb 29, 2024 | 29.92 Mn |
| Nov 30, 2023 | 30.27 Mn |
| Aug 31, 2023 | 30.76 Mn |
| May 31, 2023 | 30.80 Mn |
| Feb 28, 2023 | 30.74 Mn |
| Nov 30, 2022 | 30.71 Mn |
| Aug 31, 2022 | 30.59 Mn |
| May 31, 2022 | 30.62 Mn |
| Feb 28, 2022 | 30.58 Mn |
| Nov 30, 2021 | 30.55 Mn |
| Aug 31, 2021 | 30.40 Mn |
Pricesmart Shares Outstanding 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=shares-outstanding&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();