Pricesmart (PSMT) Dividends payables (2011 - 2026)
Pricesmart (PSMT) posted Dividends payables of $21.68 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 11.7% from $19.41 million a year earlier and unchanged from the prior quarter.
Pricesmart (PSMT) Dividends payables (2011 - 2026) Analysis & Trends
Since fiscal Q3 2011, Pricesmart has reported Dividends payables for 32 quarters.
- Across the past five years, year-over-year growth in Dividends payables ran from 7.4% in fiscal Q3 2023 to 24.9% in fiscal Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.32 Bn | 952.75 Bn | 49.13 Bn | 3.95 Bn |
| 2 | Costco Wholesale | 469.92 Bn | 393.20 Bn | 12.19 Bn | - |
| 3 | Kroger | 40.99 Bn | 27.14 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.79 Bn | 29.71 Bn | 4.05 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 | - |
| 8 | US Foods Holding | 23.76 Bn | 23.56 Bn | 1.90 Bn | - |
| 9 | Tractor Supply | 19.62 Bn | 18.77 Bn | 1.42 Bn | - |
| 10 | Pricesmart | 5.00 Bn | 3.72 Bn | 266.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 21.68 Mn |
| Feb 28, 2026 | 21.68 Mn |
| May 31, 2025 | 19.41 Mn |
| Feb 28, 2025 | 19.41 Mn |
| May 31, 2024 | 17.77 Mn |
| Feb 29, 2024 | 17.77 Mn |
| May 31, 2023 | 14.43 Mn |
| Feb 28, 2023 | 14.46 Mn |
| May 31, 2022 | 13.43 Mn |
| Feb 28, 2022 | 13.43 Mn |
| May 31, 2021 | 10.76 Mn |
| Feb 28, 2021 | 10.76 Mn |
| May 31, 2020 | 10.72 Mn |
| Feb 29, 2020 | 10.72 Mn |
| May 31, 2019 | 10.67 Mn |
| Feb 28, 2019 | 10.67 Mn |
| May 31, 2018 | 10.65 Mn |
| Feb 28, 2018 | 10.65 Mn |
| May 31, 2017 | 10.64 Mn |
| Feb 28, 2017 | 10.64 Mn |
Pricesmart Dividends payables 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=dividends-payables&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();