Restaurant Brands International (QSR) Acquisitions (2014 - 2025)
Restaurant Brands International's Acquisitions was $152 million in FY2025, down 71.9% from $540 million in FY2024.
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Analysis
Restaurant Brands International (QSR) Acquisitions (2014 - 2025) Analysis & Trends
From FY2012 onward, Restaurant Brands International has reported Acquisitions for 8 years.
- Acquisitions shows a four-year compound annual growth rate of -37.6% (FY2021 to FY2025).
- Annual Acquisitions has moved between $17 million (FY2023) and $1 billion (FY2021) over five years.
- Per Business Quant data, Acquisitions in earlier years was $540 million in FY2024, $17 million in FY2023 and $1 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | - |
| 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 | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 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, 2025 | 1.00 Mn |
| Mar 31, 2025 | 151.00 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | 508.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 17.00 Mn |
| Dec 31, 2021 | 1.00 Bn |
| Dec 31, 2017 | 100,000.00 |
| Mar 31, 2017 | 1.64 Bn |
| Dec 31, 2014 | 7.37 Bn |
API Access
Restaurant Brands International Acquisitions 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=acquisitions&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();