Restaurant Brands International Limited Partnership (RSTRF) EPS (Diluted) (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) reported EPS (Diluted) of $2.10 for Q3 2026, up 61.9% from $1.30 a year earlier but down 27.9% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) EPS (Diluted) (2013 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Restaurant Brands International Limited Partnership's EPS (Diluted) came in at $5.87, up 54.2% year-over-year; for FY2025, it came in at $3.20, down 25.7% from FY2024.
- EPS (Diluted) has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $4.30 in FY2024 (-49.3%), $8.49 in FY2023 (+98.6%), $4.27 in FY2022 (+20.8%) and $3.54 in FY2021 (+72.2%).
- Five-year quarterly EPS (Diluted) spans a low of $0.46 in Q4 2025 and a high of $3.59 in Q4 2023.
- Year over year, EPS (Diluted) has now increased in each of the last three quarters, with growth averaging 33.1% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was Q2 2026 (growth of 272.6%); the low point was Q4 2024 (a decline of 70.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.92 (Q2 2026), $1.33 (Q1 2026) and $0.46 (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 | 2.10 |
| Jun 30, 2026 | 2.92 |
| Mar 31, 2026 | 1.33 |
| Dec 31, 2025 | 0.46 |
| Sep 30, 2025 | 1.30 |
| Jun 30, 2025 | 0.78 |
| Mar 31, 2025 | 0.66 |
| Dec 31, 2024 | 1.07 |
| Sep 30, 2024 | 1.06 |
| Jun 30, 2024 | 1.19 |
| Mar 31, 2024 | 0.97 |
| Dec 31, 2023 | 3.59 |
| Sep 30, 2023 | 1.06 |
| Jun 30, 2023 | 1.73 |
| Mar 31, 2023 | 0.80 |
| Dec 31, 2022 | 0.97 |
| Sep 30, 2022 | 1.53 |
| Jun 30, 2022 | 1.00 |
| Mar 31, 2022 | 0.78 |
| Dec 31, 2021 | 0.74 |
API Access
Restaurant Brands International Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "RSTRF", "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=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();