Restaurant Brands International (QSR) EBIT (2013 - 2026)
Restaurant Brands International's EBIT was $696 million in Q3 2026, up 5.0% from $663 million a year earlier but down 2.8% from the prior quarter.
Restaurant Brands International (QSR) EBIT (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Restaurant Brands International's EBIT was $2.64 billion through Sep 30, 2026, up 19.1% year-over-year; for FY2025, it came in at $2.2 billion, down 9.0% from FY2024.
- EBIT shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In earlier years, EBIT was $2.42 billion in FY2024 (+17.9%), $2.05 billion in FY2023 (+8.1%), $1.9 billion in FY2022 (+1.0%) and $1.88 billion in FY2021 (+32.1%).
- Quarterly EBIT has moved between $346 million (Q4 2022) and $716 million (Q2 2026) over five years.
- Compared with a year earlier, EBIT has increased for three straight quarters, with growth averaging 11.7% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q2 2026 (growth of 48.2%); the worst was Q2 2025 (a decline of 27.1%).
- Per Business Quant data, QSR's EBIT in the three quarters before Q3 2026 was $716 million (Q2 2026), $606 million (Q1 2026) and $621 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 451.96 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 696.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 696.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 142.79 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 241.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 696.00 Mn |
| Jun 30, 2026 | 716.00 Mn |
| Mar 31, 2026 | 606.00 Mn |
| Dec 31, 2025 | 621.00 Mn |
| Sep 30, 2025 | 663.00 Mn |
| Jun 30, 2025 | 483.00 Mn |
| Mar 31, 2025 | 435.00 Mn |
| Dec 31, 2024 | 635.00 Mn |
| Sep 30, 2024 | 577.00 Mn |
| Jun 30, 2024 | 663.00 Mn |
| Mar 31, 2024 | 544.00 Mn |
| Dec 31, 2023 | 468.00 Mn |
| Sep 30, 2023 | 582.00 Mn |
| Jun 30, 2023 | 554.00 Mn |
| Mar 31, 2023 | 447.00 Mn |
| Dec 31, 2022 | 346.00 Mn |
| Sep 30, 2022 | 561.00 Mn |
| Jun 30, 2022 | 541.00 Mn |
| Mar 31, 2022 | 450.00 Mn |
| Dec 31, 2021 | 416.00 Mn |
Restaurant Brands International EBIT 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=ebit&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();