Restaurant Brands International Limited Partnership (RSTRF) Net Income (2013 - 2026)
Restaurant Brands International Limited Partnership's Net Income was $665 million in Q2 2026, up 152.9% from $263 million a year earlier and up 49.4% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Net Income (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Restaurant Brands International Limited Partnership's Net Income was $1.7 billion through Jun 30, 2026, up 41.5% year-over-year; for FY2025, it was $1.08 billion, down 25.6% from FY2024.
- Net Income shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Net Income was $1.45 billion in FY2024 (-15.9%), $1.72 billion in FY2023 (+15.9%), $1.48 billion in FY2022 (+18.3%) and $1.25 billion in FY2021 (+67.1%).
- The Q2 2026 figure marks the highest quarterly Net Income since Q4 2023.
- Compared with a year earlier, Net Income was higher in three of the last eight quarters, with growth averaging 12.5%.
- The best year-over-year quarter for Net Income over five years was Q2 2026 (growth of 152.9%); the worst was Q4 2025 (a decline of 57.1%).
- Per Business Quant data, RSTRF's Net Income in the three quarters before Q2 2026 was $445 million (Q1 2026), $155 million (Q4 2025) and $436 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.04 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 403.55 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 853.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 665.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 404.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 665.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 124.51 Mn |
| 10 | Dominos Pizza | 9.91 Bn | 9.25 Bn | 478.23 Mn | 135.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 665.00 Mn |
| Mar 31, 2026 | 445.00 Mn |
| Dec 31, 2025 | 155.00 Mn |
| Sep 30, 2025 | 436.00 Mn |
| Jun 30, 2025 | 263.00 Mn |
| Mar 31, 2025 | 221.00 Mn |
| Dec 31, 2024 | 361.00 Mn |
| Sep 30, 2024 | 357.00 Mn |
| Jun 30, 2024 | 399.00 Mn |
| Mar 31, 2024 | 328.00 Mn |
| Dec 31, 2023 | 726.00 Mn |
| Sep 30, 2023 | 364.00 Mn |
| Jun 30, 2023 | 351.00 Mn |
| Mar 31, 2023 | 277.00 Mn |
| Dec 31, 2022 | 336.00 Mn |
| Sep 30, 2022 | 530.00 Mn |
| Jun 30, 2022 | 346.00 Mn |
| Mar 31, 2022 | 270.00 Mn |
| Dec 31, 2021 | 262.00 Mn |
| Sep 30, 2021 | 329.00 Mn |
API Access
Restaurant Brands International Limited Partnership Net Income 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=net-income&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();