Wendy's (WEN) Exchange Rate Effect (2009 - 2026)
Wendy's (WEN) reported Exchange Rate Effect of -$1.52 million for Q2 2026, compared with $4.69 million a year earlier.
Wendy's (WEN) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Wendy's' Exchange Rate Effect came in at -$3.51 million; for FY2025, it came in at $4.34 million.
- Exchange Rate Effect has a four-year compound annual growth rate of 34.4% (FY2021 to FY2025).
- By year, Exchange Rate Effect came in at -$8.11 million in FY2024, $2.45 million in FY2023, -$5.97 million in FY2022 and $1.33 million in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$6.51 million in Q4 2024 and a high of $4.69 million in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$886,000 (Q1 2026), $1 million (Q4 2025) and -$2.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | -6.20 Mn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 98,000.00 |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | -9.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | -5.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -5.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 4.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | - |
| 10 | Wendy's | 1.22 Bn | -14.01 Mn | 363.30 Mn | -1.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -1.52 Mn |
| Mar 29, 2026 | -886,000.00 |
| Dec 28, 2025 | 1.00 Mn |
| Sep 28, 2025 | -2.10 Mn |
| Jun 29, 2025 | 4.69 Mn |
| Mar 30, 2025 | 744,000.00 |
| Dec 29, 2024 | -6.51 Mn |
| Sep 29, 2024 | 1.70 Mn |
| Jun 30, 2024 | -1.02 Mn |
| Mar 31, 2024 | -2.27 Mn |
| Dec 31, 2023 | 2.14 Mn |
| Oct 1, 2023 | -1.85 Mn |
| Jul 2, 2023 | 2.03 Mn |
| Apr 2, 2023 | 129,000.00 |
| Jan 1, 2023 | -6.14 Mn |
| Apr 3, 2022 | 305,000.00 |
| Oct 3, 2021 | -2.11 Mn |
| Jul 4, 2021 | 1.46 Mn |
| Apr 4, 2021 | 823,000.00 |
| Jan 3, 2021 | 3.05 Mn |
Wendy's 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=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "WEN", "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=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();