Pricesmart (PSMT) Exchange Rate Effect (2010 - 2026)
Pricesmart's Exchange Rate Effect came in at $4.61 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 102.2% from $2.28 million a year earlier but down 48.1% from the prior quarter.
Pricesmart (PSMT) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Pricesmart reported Exchange Rate Effect of $9.96 million, down 11.7% year-over-year; for FY2025 (ended Aug 31, 2025), it was $2.36 million, up 18.0% from FY2024.
- Going back by fiscal year, Exchange Rate Effect was $2 million in FY2024 (-69.9%), $6.64 million in FY2023 (+544.2%), $1.03 million in FY2022 and -$3.6 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$7.08 million (fiscal Q3 2022) to $8.88 million (fiscal Q2 2026).
- Business Quant data shows PSMT's Exchange Rate Effect at $8.88 million (Q2 2026), -$562,000 (Q1 2026) and -$2.97 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 398.00 Mn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | -25.00 Mn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | -9.00 Mn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | - |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | -600,000.00 |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | - |
| 10 | Pricesmart | 5.18 Bn | 3.92 Bn | 262.22 Mn | 4.61 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.61 Mn |
| Feb 28, 2026 | 8.88 Mn |
| Nov 30, 2025 | -562,000.00 |
| Aug 31, 2025 | -2.97 Mn |
| May 31, 2025 | 2.28 Mn |
| Feb 28, 2025 | -5.47 Mn |
| Nov 30, 2024 | 8.51 Mn |
| Aug 31, 2024 | 5.95 Mn |
| May 31, 2024 | -4.27 Mn |
| Feb 29, 2024 | 2.10 Mn |
| Nov 30, 2023 | -1.79 Mn |
| Aug 31, 2023 | -4.55 Mn |
| May 31, 2023 | -453,000.00 |
| Feb 28, 2023 | 5.01 Mn |
| Nov 30, 2022 | 6.63 Mn |
| Aug 31, 2022 | 8.06 Mn |
| May 31, 2022 | -7.08 Mn |
| Feb 28, 2022 | -1.27 Mn |
| Nov 30, 2021 | 1.31 Mn |
| Aug 31, 2021 | -1.25 Mn |
Pricesmart Exchange Rate Effect 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=exchange-rate-effect&ticker=PSMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PSMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();