Restaurant Brands International Limited Partnership (RSTRF) EBITDA (2014 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) recorded EBITDA of $793 million in 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 Limited Partnership (RSTRF) EBITDA (2014 - 2026) Analysis & Trends
On a TTM basis, Restaurant Brands International Limited Partnership's EBITDA came in at $2.91 billion as of Jun 30, 2026, up 19.7% year-over-year; for FY2025, it was $2.5 billion, down 6.7% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, 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 is the highest quarterly EBITDA in data going back to Q1 2014.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 11.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 41.6% in Q2 2026, against a decline of 22.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters 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 Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();