Restaurant Brands International Limited Partnership (RSTRF) EBIT (2013 - 2026)
Restaurant Brands International Limited Partnership's EBIT was $716 million in Q2 2026, up 48.2% from $483 million a year earlier and up 18.2% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) EBIT (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Restaurant Brands International Limited Partnership's EBIT was $2.61 billion through Jun 30, 2026, up 22.3% 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%).
- The Q2 2026 figure marks the highest quarterly EBIT in data going back to Q4 2013.
- Compared with a year earlier, EBIT was higher in four of the last eight quarters, with growth averaging 11.0%.
- 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, RSTRF's EBIT in the three quarters before Q2 2026 was $606 million (Q1 2026), $621 million (Q4 2025) and $663 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 525.60 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 142.79 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 533.00 Mn |
API Access
Restaurant Brands International Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();