Restaurant Brands International (QSR) EPS (Diluted) (2013 - 2026)
Restaurant Brands International (QSR) posted EPS (Diluted) of $1.19 for Q3 2026, up 72.1% from $0.69 a year earlier and up 7.6% from the prior quarter.
Powered by 
Analysis
Restaurant Brands International (QSR) EPS (Diluted) (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EPS (Diluted) at Restaurant Brands International was $3.28, up 62.7% year-over-year; for FY2025, it was $1.70, down 24.5% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's EPS (Diluted) was $2.25 in FY2024 (-13.8%), $2.61 in FY2023 (+17.8%), $2.22 in FY2022 (+22.7%) and $1.81 in FY2021 (+73.9%).
- The Q3 2026 figure stands as the highest quarterly EPS (Diluted) in data going back to Q4 2013.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last three quarters, with growth averaging 25.5% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q2 2026, with growth of 166.5%; the weakest was Q4 2025, with a decline of 56.7%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $1.10 (Q2 2026), $0.74 (Q1 2026) and $0.25 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 0.91 |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 3.08 |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 0.27 |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 1.19 |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 2.04 |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.10 |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.85 |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 4.60 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.19 |
| Jun 30, 2026 | 1.10 |
| Mar 31, 2026 | 0.74 |
| Dec 31, 2025 | 0.25 |
| Sep 30, 2025 | 0.69 |
| Jun 30, 2025 | 0.41 |
| Mar 31, 2025 | 0.35 |
| Dec 31, 2024 | 0.57 |
| Sep 30, 2024 | 0.56 |
| Jun 30, 2024 | 0.62 |
| Mar 31, 2024 | 0.51 |
| Dec 31, 2023 | 1.11 |
| Sep 30, 2023 | 0.55 |
| Jun 30, 2023 | 0.53 |
| Mar 31, 2023 | 0.41 |
| Dec 31, 2022 | 0.50 |
| Sep 30, 2022 | 0.79 |
| Jun 30, 2022 | 0.52 |
| Mar 31, 2022 | 0.40 |
| Dec 31, 2021 | 0.39 |
API Access
Restaurant Brands International EPS (Diluted) 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-diluted&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();