Restaurant Brands International (QSR) EPS (Basic) (2013 - 2026)
Restaurant Brands International's (QSR) quarterly EPS (Basic) came in at $1.46 in Q2 2026, up 152.84% year-over-year from $0.58 in Q2 2025, and up 49.57% quarter-over-quarter from $0.97 in Q1 2026.
Restaurant Brands International (QSR) EPS (Basic) (2013 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported EPS (Basic) for 14 consecutive years, with $1.46 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EPS (Basic) rose 152.84% year-over-year to $1.46 in Q2 2026; TTM through Jun 2026 was $3.66, a 39.68% increase from a year earlier, with the FY2025 full-year figure at $2.36, down 26.31% from the prior year.
- EPS (Basic) was $1.46 for Q2 2026 at Restaurant Brands International, up from $0.97 in the prior quarter.
- Over five years, EPS (Basic) peaked at $1.63 in Q4 2023 and troughed at $0.34 in Q4 2025.
- A 5-year average of $0.84 and a median of $0.78 in 2023 frame the typical range for EPS (Basic).
- Across the five-year window, EPS (Basic) sank 57.7% in 2025 and jumped 152.84% in 2026, its largest moves.
- Over 5 years, EPS (Basic) stood at $0.75 in 2022, then soared by 118.28% to $1.63 in 2023, then tumbled by 50.13% to $0.81 in 2024, then slumped by 57.7% to $0.34 in 2025, then jumped by 324.18% to $1.46 in 2026.
- The last three EPS (Basic) figures came in at $1.46 (Q2 2026), $0.97 (Q1 2026), and $0.34 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 3.33 |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 0.92 |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 0.32 |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 3.10 |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 1.46 |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 3.51 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 2.92 |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 0.75 |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.86 |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 4.09 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 |
| Mar 31, 2026 | 0.97 |
| Dec 31, 2025 | 0.34 |
| Sep 30, 2025 | 0.96 |
| Jun 30, 2025 | 0.58 |
| Mar 31, 2025 | 0.49 |
| Dec 31, 2024 | 0.81 |
| Sep 30, 2024 | 0.79 |
| Jun 30, 2024 | 0.88 |
| Mar 31, 2024 | 0.73 |
| Dec 31, 2023 | 1.63 |
| Sep 30, 2023 | 0.80 |
| Jun 30, 2023 | 0.77 |
| Mar 31, 2023 | 0.61 |
| Dec 31, 2022 | 0.75 |
| Sep 30, 2022 | 1.18 |
| Jun 30, 2022 | 0.77 |
| Mar 31, 2022 | 0.59 |
| Dec 31, 2021 | 0.58 |
| Sep 30, 2021 | 0.71 |
Restaurant Brands International EPS (Basic) 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=eps-basic&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();