Restaurant Brands International (QSR) EV to CFO (2014 - 2026)
Restaurant Brands International's (QSR) quarterly EV to CFO came in at 48.68 in Q2 2026, down 2.74% year-over-year from 50.06 in Q2 2025, and down 57.82% quarter-over-quarter from 115.43 in Q1 2026.
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Restaurant Brands International (QSR) EV to CFO (2014 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported EV to CFO for 13 consecutive years, with 48.68 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to CFO fell 2.74% year-over-year to 48.68 in Q2 2026; TTM through Jun 2026 was 13.55, a 4.25% decrease from a year earlier, with the FY2025 full-year figure at 14.0, down 2.35% from the prior year.
- EV to CFO was 48.68 for Q2 2026 at Restaurant Brands International, down from 115.43 in the prior quarter.
- Over five years, EV to CFO peaked at 227.32 in Q1 2023 and troughed at 36.49 in Q3 2025.
- A 5-year average of 79.53 and a median of 49.99 in 2023 frame the typical range for EV to CFO.
- Across the five-year window, EV to CFO jumped 182.94% in 2023 and sank 39.84% in 2026, its largest moves.
- Over 5 years, EV to CFO stood at 48.35 in 2022, then climbed by 29.0% to 62.37 in 2023, then retreated by 28.19% to 44.79 in 2024, then retreated by 3.49% to 43.23 in 2025, then grew by 12.62% to 48.68 in 2026.
- The last three EV to CFO figures came in at 48.68 (Q2 2026), 115.43 (Q1 2026), and 43.23 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.68 |
| Mar 31, 2026 | 115.43 |
| Dec 31, 2025 | 43.23 |
| Sep 30, 2025 | 36.49 |
| Jun 30, 2025 | 50.06 |
| Mar 31, 2025 | 191.88 |
| Dec 31, 2024 | 44.79 |
| Sep 30, 2024 | 44.39 |
| Jun 30, 2024 | 69.58 |
| Mar 31, 2024 | 175.36 |
| Dec 31, 2023 | 62.37 |
| Sep 30, 2023 | 49.93 |
| Jun 30, 2023 | 63.30 |
| Mar 31, 2023 | 227.32 |
| Dec 31, 2022 | 48.35 |
| Sep 30, 2022 | 42.83 |
| Jun 30, 2022 | 37.22 |
| Mar 31, 2022 | 80.34 |
| Dec 31, 2021 | 40.94 |
| Sep 30, 2021 | 37.45 |
API Access
Restaurant Brands International EV to CFO 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-cfo&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();