Restaurant Brands International (QSR) Price to FCF (2014 - 2026)
Restaurant Brands International's (QSR) quarterly Price to FCF came in at 52.86 in Q2 2026, little changed year-over-year from 52.87 in Q2 2025, and down 65.19% quarter-over-quarter from 151.88 in Q1 2026.
Restaurant Brands International (QSR) Price to FCF (2014 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported Price to FCF for 13 consecutive years, with 52.86 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to FCF changed 0.01% year-over-year to 52.86 in Q2 2026; TTM through Jun 2026 was 15.52, a 3.32% decrease from a year earlier, with the FY2025 full-year figure at 16.31, changed 0.41% from the prior year.
- Price to FCF was 52.86 for Q2 2026 at Restaurant Brands International, down from 151.88 in the prior quarter.
- Over five years, Price to FCF peaked at 404.32 in Q1 2025 and troughed at 36.77 in Q2 2022.
- A 5-year average of 100.51 and a median of 52.92 in 2022 frame the typical range for Price to FCF.
- Across the five-year window, Price to FCF soared 237.2% in 2023 and plunged 62.44% in 2026, its largest moves.
- Over 5 years, Price to FCF stood at 52.97 in 2022, then gained by 29.46% to 68.57 in 2023, then retreated by 23.67% to 52.34 in 2024, then slipped by 0.34% to 52.16 in 2025, then grew by 1.34% to 52.86 in 2026.
- The last three Price to FCF figures came in at 52.86 (Q2 2026), 151.88 (Q1 2026), and 52.16 (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.86 |
| Mar 31, 2026 | 151.88 |
| Dec 31, 2025 | 52.16 |
| Sep 30, 2025 | 39.60 |
| Jun 30, 2025 | 52.87 |
| Mar 31, 2025 | 404.32 |
| Dec 31, 2024 | 52.34 |
| Sep 30, 2024 | 48.14 |
| Jun 30, 2024 | 76.63 |
| Mar 31, 2024 | 206.04 |
| Dec 31, 2023 | 68.57 |
| Sep 30, 2023 | 51.90 |
| Jun 30, 2023 | 66.86 |
| Mar 31, 2023 | 271.33 |
| Dec 31, 2022 | 52.97 |
| Sep 30, 2022 | 43.49 |
| Jun 30, 2022 | 36.77 |
| Mar 31, 2022 | 80.46 |
| Dec 31, 2021 | 43.11 |
| Sep 30, 2021 | 39.67 |
Restaurant Brands International Price 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=price-to-fcf&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();