Restaurant Brands International (QSR) EBITDA (2014 - 2026)
Restaurant Brands International (QSR) reported EBITDA of $793 million for Q2 2026, up 41.6% from $560 million a year earlier and up 15.9% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) EBITDA (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Restaurant Brands International's EBITDA came in at $2.91 billion, up 19.7% year-over-year; for FY2025, it came in at $2.5 billion, down 6.7% from FY2024.
- EBITDA has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By year, EBITDA came in at $2.68 billion in FY2024 (+19.7%), $2.24 billion in FY2023 (+7.4%), $2.09 billion in FY2022 (+0.4%) and $2.08 billion in FY2021 (+29.1%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q1 2014.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 11.5%.
- The high point for year-over-year EBITDA in five years was Q2 2026 (growth of 41.6%); the low point was Q2 2025 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $684 million (Q1 2026), $697 million (Q4 2025) and $739 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 590.00 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();