Restaurant Brands International (QSR) Price to Earnings (2015 - 2026)
Restaurant Brands International's (QSR) Price to Earnings came in at 19.89 for Q2 2026, down 21.4% from 25.29 a year earlier and down 26.0% from the prior quarter.
Restaurant Brands International (QSR) Price to Earnings (2015 - 2026) Analysis & Trends
For FY2025, Restaurant Brands International's Price to Earnings stood at 30.45, up 47.0% from FY2024.
- Annual Price to Earnings has increased for three consecutive years.
- In prior years, Restaurant Brands International's Price to Earnings was 20.71 in FY2024 (+1.0%), 20.51 in FY2023 (+4.1%), 19.71 in FY2022 (-11.9%) and 22.38 in FY2021 (-41.6%).
- The Q2 2026 figure stands as the lowest quarterly Price to Earnings since Q3 2024.
- On a year-over-year basis, Price to Earnings increased in six of the last eight quarters, with growth averaging 12.9%.
- The strongest year-over-year quarter for Price to Earnings in the past five years was Q4 2025, with growth of 47.0%; the weakest was Q1 2022, with a decline of 44.1%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 26.88 (Q1 2026), 30.45 (Q4 2025) and 22.80 (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.89 |
| Mar 31, 2026 | 26.88 |
| Dec 31, 2025 | 30.45 |
| Sep 30, 2025 | 22.80 |
| Jun 30, 2025 | 25.29 |
| Mar 31, 2025 | 22.98 |
| Dec 31, 2024 | 20.71 |
| Sep 30, 2024 | 18.38 |
| Jun 30, 2024 | 17.56 |
| Mar 31, 2024 | 20.42 |
| Dec 31, 2023 | 20.51 |
| Sep 30, 2023 | 23.24 |
| Jun 30, 2023 | 23.75 |
| Mar 31, 2023 | 20.60 |
| Dec 31, 2022 | 19.71 |
| Sep 30, 2022 | 16.98 |
| Jun 30, 2022 | 18.72 |
| Mar 31, 2022 | 21.41 |
| Dec 31, 2021 | 22.38 |
| Sep 30, 2021 | 25.71 |
Restaurant Brands International Price to Earnings 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-earnings&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();