Restaurant Brands International (QSR) Enterprise Value (2014 - 2026)
Restaurant Brands International (QSR) posted Enterprise Value of $25.8 billion for Q2 2026, up 14.8% from $22.48 billion a year earlier but down 1.5% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Enterprise Value (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Restaurant Brands International was $22.42 billion, up 17.6% year-over-year; for FY2025, it was $23.99 billion, up 11.4% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Enterprise Value was $21.55 billion in FY2024 (-14.3%), $25.14 billion in FY2023 (+22.9%), $20.45 billion in FY2022 (+6.1%) and $19.28 billion in FY2021 (+3.6%).
- Quarterly Enterprise Value has run from a low of $16.19 billion in Q2 2022 to a high of $26.2 billion in Q1 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last three quarters, with growth averaging 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2023, with growth of 53.3%; the weakest was Q2 2022, with a decline of 18.2%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $26.2 billion (Q1 2026), $23.99 billion (Q4 2025) and $21.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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, 2026 | 25.80 Bn |
| Mar 31, 2026 | 26.20 Bn |
| Dec 31, 2025 | 23.99 Bn |
| Sep 30, 2025 | 21.60 Bn |
| Jun 30, 2025 | 22.48 Bn |
| Mar 31, 2025 | 22.64 Bn |
| Dec 31, 2024 | 21.55 Bn |
| Sep 30, 2024 | 23.97 Bn |
| Jun 30, 2024 | 23.24 Bn |
| Mar 31, 2024 | 25.95 Bn |
| Dec 31, 2023 | 25.14 Bn |
| Sep 30, 2023 | 21.62 Bn |
| Jun 30, 2023 | 24.81 Bn |
| Mar 31, 2023 | 21.60 Bn |
| Dec 31, 2022 | 20.45 Bn |
| Sep 30, 2022 | 17.05 Bn |
| Jun 30, 2022 | 16.19 Bn |
| Mar 31, 2022 | 18.80 Bn |
| Dec 31, 2021 | 19.28 Bn |
| Sep 30, 2021 | 19.10 Bn |
API Access
Restaurant Brands International Enterprise Value 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=enterprise-value&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();