Restaurant Brands International (QSR) Price to Earnings (2014 - 2026)
Restaurant Brands International's (QSR) quarterly Price to Earnings came in at 49.94 in Q2 2026, down 56.56% year-over-year from 114.96 in Q2 2025, and down 34.23% quarter-over-quarter from 75.94 in Q1 2026.
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Restaurant Brands International (QSR) Price to Earnings (2014 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported Price to Earnings for 13 consecutive years, with 49.94 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 56.56% year-over-year to 49.94 in Q2 2026; TTM through Jun 2026 was 19.89, a 21.36% decrease from a year earlier, with the FY2025 full-year figure at 30.45, up 47.02% from the prior year.
- Price to Earnings was 49.94 for Q2 2026 at Restaurant Brands International, down from 75.94 in the prior quarter.
- Over five years, Price to Earnings peaked at 209.11 in Q4 2025 and troughed at 45.18 in Q3 2022.
- A 5-year average of 91.98 and a median of 85.38 in 2022 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings surged 156.12% in 2025 and slumped 56.56% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 86.74 in 2022, then sank by 44.6% to 48.06 in 2023, then surged by 69.9% to 81.65 in 2024, then surged by 156.12% to 209.11 in 2025, then tumbled by 76.12% to 49.94 in 2026.
- The last three Price to Earnings figures came in at 49.94 (Q2 2026), 75.94 (Q1 2026), and 209.11 (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 | 49.94 |
| Mar 31, 2026 | 75.94 |
| Dec 31, 2025 | 209.11 |
| Sep 30, 2025 | 66.75 |
| Jun 30, 2025 | 114.96 |
| Mar 31, 2025 | 137.32 |
| Dec 31, 2024 | 81.65 |
| Sep 30, 2024 | 92.64 |
| Jun 30, 2024 | 79.64 |
| Mar 31, 2024 | 109.29 |
| Dec 31, 2023 | 48.06 |
| Sep 30, 2023 | 84.03 |
| Jun 30, 2023 | 100.42 |
| Mar 31, 2023 | 110.54 |
| Dec 31, 2022 | 86.74 |
| Sep 30, 2022 | 45.18 |
| Jun 30, 2022 | 64.97 |
| Mar 31, 2022 | 98.49 |
| Dec 31, 2021 | 104.76 |
| Sep 30, 2021 | 87.23 |
API Access
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_KEYimport 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();