Restaurant Brands International (QSR) Enterprise Value (2014 - 2026)
Restaurant Brands International (QSR) posted Enterprise Value of $25.39 billion for Q3 2026, up 17.5% from $21.6 billion a year earlier but down 1.6% from the prior quarter.
Restaurant Brands International (QSR) Enterprise Value (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Enterprise Value at Restaurant Brands International was $22.15 billion, up 20.8% 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 four quarters, with growth averaging 2.4% 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 $25.8 billion (Q2 2026), $26.2 billion (Q1 2026) and $23.99 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.39 Bn |
| 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 |
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_KEY
import 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();