Restaurant Brands International Limited Partnership (RSTRF) EBITDA (2014 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) recorded EBITDA of $776 million in Q3 2026, up 4.2% from $745 million a year earlier but down 2.9% from the prior quarter.
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 $2.97 billion as of Sep 30, 2026, up 16.8% year-over-year; for FY2025, it was $2.53 billion, down 6.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Across earlier years, 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%).
- Quarterly EBITDA has ranged from $400 million in Q4 2022 to $799 million in Q2 2026 over the past five years.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 40.9% in Q2 2026, against a decline of 22.1% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $799 million (Q2 2026), $690 million (Q1 2026) and $703 million (Q4 2025).
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
| 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 |
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_KEY
import 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();