Restaurant Brands International (QSR) Exchange Rate Effect (2014 - 2026)
Restaurant Brands International (QSR) posted Exchange Rate Effect of -$5 million for Q2 2026, compared with $16 million a year earlier.
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Analysis
Restaurant Brands International (QSR) Exchange Rate Effect (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Restaurant Brands International was -$11 million; for FY2025, it came in at $16 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Exchange Rate Effect was -$23 million in FY2024, $1 million in FY2023, -$28 million in FY2022 and -$3 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Exchange Rate Effect since Q4 2024.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$3 million (Q1 2026), $1 million (Q4 2025) and -$4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | -6.20 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -9.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 98,000.00 |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | -5.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -5.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.00 Mn |
| Mar 31, 2026 | -3.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | -4.00 Mn |
| Jun 30, 2025 | 16.00 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | -19.00 Mn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | -4.00 Mn |
| Mar 31, 2024 | -4.00 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Sep 30, 2023 | -7.00 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | -19.00 Mn |
| Jun 30, 2022 | -11.00 Mn |
| Mar 31, 2022 | -1.00 Mn |
| Sep 30, 2021 | -12.00 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | 5.00 Mn |
API Access
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "QSR", "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=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();