Restaurant Brands International (QSR) EBITDA (2014 - 2026)
Restaurant Brands International (QSR) reported EBITDA of $776 million for Q3 2026, up 4.2% from $745 million a year earlier but down 2.9% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) EBITDA (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Restaurant Brands International's EBITDA came in at $2.97 billion, up 16.8% year-over-year; for FY2025, it came in at $2.53 billion, down 6.6% from FY2024.
- EBITDA has a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- By year, EBITDA came in at $2.71 billion in FY2024 (+19.3%), $2.27 billion in FY2023 (+7.2%), $2.12 billion in FY2022 (+0.4%) and $2.11 billion in FY2021 (+28.7%).
- Five-year quarterly EBITDA spans a low of $400 million in Q4 2022 and a high of $799 million in Q2 2026.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 11.4% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q2 2026 (growth of 40.9%); the low point was Q2 2025 (a decline of 22.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $799 million (Q2 2026), $690 million (Q1 2026) and $703 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 554.58 Mn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 776.00 Mn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 776.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 201.13 Mn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 263.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 776.00 Mn |
| Jun 30, 2026 | 799.00 Mn |
| Mar 31, 2026 | 690.00 Mn |
| Dec 31, 2025 | 703.00 Mn |
| Sep 30, 2025 | 745.00 Mn |
| Jun 30, 2025 | 567.00 Mn |
| Mar 31, 2025 | 512.00 Mn |
| Dec 31, 2024 | 718.00 Mn |
| Sep 30, 2024 | 662.00 Mn |
| Jun 30, 2024 | 728.00 Mn |
| Mar 31, 2024 | 599.00 Mn |
| Dec 31, 2023 | 523.00 Mn |
| Sep 30, 2023 | 636.00 Mn |
| Jun 30, 2023 | 610.00 Mn |
| Mar 31, 2023 | 500.00 Mn |
| Dec 31, 2022 | 400.00 Mn |
| Sep 30, 2022 | 614.00 Mn |
| Jun 30, 2022 | 596.00 Mn |
| Mar 31, 2022 | 506.00 Mn |
| Dec 31, 2021 | 474.00 Mn |
API Access
Restaurant Brands International EBITDA 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=ebitda&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();