Restaurant Brands International (QSR) EV to FCF (2014 - 2026)
Restaurant Brands International's (QSR) quarterly EV to FCF came in at 53.87 in Q2 2026, down 1.49% year-over-year from 54.68 in Q2 2025, and down 65.26% quarter-over-quarter from 155.05 in Q1 2026.
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Restaurant Brands International (QSR) EV to FCF (2014 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported EV to FCF for 13 consecutive years, with 53.87 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to FCF fell 1.49% year-over-year to 53.87 in Q2 2026; TTM through Jun 2026 was 15.81, a 4.75% decrease from a year earlier, with the FY2025 full-year figure at 16.56, changed 0.06% from the prior year.
- EV to FCF was 53.87 for Q2 2026 at Restaurant Brands International, down from 155.05 in the prior quarter.
- Over five years, EV to FCF peaked at 419.3 in Q1 2025 and troughed at 38.83 in Q2 2022.
- A 5-year average of 103.74 and a median of 54.61 in 2025 frame the typical range for EV to FCF.
- Across the five-year window, EV to FCF surged 234.16% in 2023 and plunged 63.02% in 2026, its largest moves.
- Over 5 years, EV to FCF stood at 54.54 in 2022, then rose by 29.46% to 70.61 in 2023, then declined by 24.47% to 53.33 in 2024, then declined by 0.69% to 52.96 in 2025, then increased by 1.71% to 53.87 in 2026.
- The last three EV to FCF figures came in at 53.87 (Q2 2026), 155.05 (Q1 2026), and 52.96 (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 | 53.87 |
| Mar 31, 2026 | 155.05 |
| Dec 31, 2025 | 52.96 |
| Sep 30, 2025 | 40.68 |
| Jun 30, 2025 | 54.68 |
| Mar 31, 2025 | 419.30 |
| Dec 31, 2024 | 53.33 |
| Sep 30, 2024 | 49.43 |
| Jun 30, 2024 | 79.87 |
| Mar 31, 2024 | 212.73 |
| Dec 31, 2023 | 70.61 |
| Sep 30, 2023 | 52.99 |
| Jun 30, 2023 | 68.54 |
| Mar 31, 2023 | 280.46 |
| Dec 31, 2022 | 54.54 |
| Sep 30, 2022 | 45.58 |
| Jun 30, 2022 | 38.83 |
| Mar 31, 2022 | 83.93 |
| Dec 31, 2021 | 44.32 |
| Sep 30, 2021 | 39.30 |
API Access
Restaurant Brands International EV to FCF 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-fcf&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();