Restaurant Brands International (QSR) EV to EBITDA (2014 - 2026)
Restaurant Brands International's EV to EBITDA was 8.86 in Q2 2026, down 4.1% from 9.24 a year earlier and down 9.4% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) EV to EBITDA (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Restaurant Brands International's EV to EBITDA was 7.70 through Jun 30, 2026, down 1.8% year-over-year; for FY2025, it came in at 9.59, up 19.4% from FY2024.
- In earlier years, EV to EBITDA was 8.03 in FY2024 (-28.4%), 11.21 in FY2023 (+14.5%), 9.80 in FY2022 (+5.7%) and 9.27 in FY2021 (-19.8%).
- Quarterly EV to EBITDA has moved between 7.57 (Q2 2022) and 11.84 (Q2 2023) over five years.
- Compared with a year earlier, EV to EBITDA was higher in two of the last eight quarters, with an average decline of 5.1%.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2023 (growth of 56.3%); the worst was Q4 2024 (a decline of 28.4%).
- Per Business Quant data, QSR's EV to EBITDA in the three quarters before Q2 2026 was 9.78 (Q1 2026), 9.59 (Q4 2025) and 8.58 (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 | 8.79 |
| Mar 31, 2026 | 9.69 |
| Dec 31, 2025 | 9.49 |
| Sep 30, 2025 | 8.50 |
| Jun 30, 2025 | 9.14 |
| Mar 31, 2025 | 8.64 |
| Dec 31, 2024 | 7.96 |
| Sep 30, 2024 | 9.54 |
| Jun 30, 2024 | 9.35 |
| Mar 31, 2024 | 10.96 |
| Dec 31, 2023 | 11.08 |
| Sep 30, 2023 | 10.07 |
| Jun 30, 2023 | 11.68 |
| Mar 31, 2023 | 10.23 |
| Dec 31, 2022 | 9.67 |
| Sep 30, 2022 | 7.78 |
| Jun 30, 2022 | 7.47 |
| Mar 31, 2022 | 8.89 |
| Dec 31, 2021 | 9.15 |
| Sep 30, 2021 | 9.26 |
API Access
Restaurant Brands International EV to EBITDA 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=ev-to-ebitda&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();