Restaurant Brands International Limited Partnership (RSTRF) EBT (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) posted EBT of $592 million for Q2 2026, up 68.7% from $351 million a year earlier and up 22.6% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) EBT (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Restaurant Brands International Limited Partnership was $2.1 billion, up 32.7% year-over-year; for FY2025, it came in at $1.68 billion, down 6.9% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In prior years, Restaurant Brands International Limited Partnership's EBT was $1.81 billion in FY2024 (+24.5%), $1.45 billion in FY2023 (+6.4%), $1.37 billion in FY2022 (+0.1%) and $1.36 billion in FY2021 (+67.0%).
- The Q2 2026 figure stands as the highest quarterly EBT in data going back to Q4 2013.
- On a year-over-year basis, EBT increased in five of the last eight quarters, with growth averaging 19.9%.
- The strongest year-over-year quarter for EBT in the past five years was Q4 2021, with growth of 102.1%; the weakest was Q4 2022, with a decline of 30.1%.
- According to Business Quant data, EBT for the three prior quarters was $483 million (Q1 2026), $494 million (Q4 2025) and $534 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.42 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 533.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 533.27 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 592.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 269.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 592.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 354.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 143.99 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 592.00 Mn |
| Mar 31, 2026 | 483.00 Mn |
| Dec 31, 2025 | 494.00 Mn |
| Sep 30, 2025 | 534.00 Mn |
| Jun 30, 2025 | 351.00 Mn |
| Mar 31, 2025 | 305.00 Mn |
| Dec 31, 2024 | 500.00 Mn |
| Sep 30, 2024 | 429.00 Mn |
| Jun 30, 2024 | 484.00 Mn |
| Mar 31, 2024 | 396.00 Mn |
| Dec 31, 2023 | 316.00 Mn |
| Sep 30, 2023 | 423.00 Mn |
| Jun 30, 2023 | 409.00 Mn |
| Mar 31, 2023 | 305.00 Mn |
| Dec 31, 2022 | 202.00 Mn |
| Sep 30, 2022 | 428.00 Mn |
| Jun 30, 2022 | 412.00 Mn |
| Mar 31, 2022 | 323.00 Mn |
| Dec 31, 2021 | 289.00 Mn |
| Sep 30, 2021 | 394.00 Mn |
API Access
Restaurant Brands International Limited Partnership EBT 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=ebt&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();