Restaurant Brands International (QSR) Net Income (2013 - 2026)
Restaurant Brands International (QSR) recorded Net Income of $704 million in Q3 2026, up 61.5% from $436 million a year earlier and up 5.9% from the prior quarter.
Restaurant Brands International (QSR) Net Income (2013 - 2026) Analysis & Trends
On a TTM basis, Restaurant Brands International's Net Income came in at $1.97 billion as of Sep 30, 2026, up 53.7% year-over-year; for FY2025, it came in at $1.08 billion, down 25.6% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $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 Q3 2026 figure is the highest quarterly Net Income since Q4 2023.
- On a year-over-year basis, Net Income has increased for three consecutive quarters, with growth averaging 20.5% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 152.9% in Q2 2026, against a decline of 57.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $665 million (Q2 2026), $445 million (Q1 2026) and $155 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.05 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 853.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 339.87 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 704.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 704.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 124.51 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 152.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 704.00 Mn |
| 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 |
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();