Restaurant Brands International Limited Partnership (RSTRF) EPS (Basic) (2013 - 2026)
Restaurant Brands International Limited Partnership's EPS (Basic) came in at $2.10 for Q3 2026, up 61.9% from $1.30 a year earlier and up 6.2% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) EPS (Basic) (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Restaurant Brands International Limited Partnership reported EPS (Basic) of $5.87, up 54.2% year-over-year; for FY2025, it came in at $5.11, down 27.6% from FY2024.
- EPS (Basic) carries a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- Going back by year, EPS (Basic) was $7.07 in FY2024 (+40.5%), $5.03 in FY2023 (+17.7%), $4.27 in FY2022 (+20.8%) and $3.54 in FY2021 (+72.2%).
- The Q3 2026 figure represents the highest quarterly EPS (Basic) since Q4 2023.
- Year-over-year, EPS (Basic) has increased for three consecutive quarters, with growth averaging 18.6% over the last eight quarters.
- The fastest year-over-year change in EPS (Basic) over five years came in Q2 2026 (growth of 152.9%), and the weakest in Q4 2025 (a decline of 58.4%).
- Business Quant data shows RSTRF's EPS (Basic) at $1.98 (Q2 2026), $1.33 (Q1 2026) and $0.73 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.33 |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 0.92 |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 3.10 |
| 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 | 1.55 |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 2.05 |
| 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 | - | 1.86 |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 4.61 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.10 |
| Jun 30, 2026 | 1.98 |
| Mar 31, 2026 | 1.33 |
| Dec 31, 2025 | 0.73 |
| Sep 30, 2025 | 1.30 |
| Jun 30, 2025 | 0.78 |
| Mar 31, 2025 | 0.66 |
| Dec 31, 2024 | 1.76 |
| Sep 30, 2024 | 1.75 |
| Jun 30, 2024 | 1.19 |
| Mar 31, 2024 | 0.97 |
| Dec 31, 2023 | 2.13 |
| Sep 30, 2023 | 1.80 |
| 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 | 1.33 |
| Dec 31, 2021 | 0.74 |
API Access
Restaurant Brands International Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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-basic&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();