Restaurant Brands International (QSR) EBT (2013 - 2026)
Restaurant Brands International's (QSR) quarterly EBT came in at $592.0 million in Q2 2026, up 68.66% year-over-year from $351.0 million in Q2 2025, and up 22.57% quarter-over-quarter from $483.0 million in Q1 2026.
Restaurant Brands International (QSR) EBT (2013 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported EBT for 14 consecutive years, with $592.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBT rose 68.66% year-over-year to $592.0 million in Q2 2026; TTM through Jun 2026 was $2.1 billion, a 32.68% increase from a year earlier, with the FY2025 full-year figure at $1.7 billion, down 6.91% from the prior year.
- EBT was $592.0 million for Q2 2026 at Restaurant Brands International, up from $483.0 million in the prior quarter.
- Over five years, EBT peaked at $592.0 million in Q2 2026 and troughed at $202.0 million in Q4 2022.
- A 5-year average of $410.3 million and a median of $417.5 million in 2022 frame the typical range for EBT.
- Across the five-year window, EBT tumbled 30.1% in 2022 and jumped 68.66% in 2026, its largest moves.
- Over 5 years, EBT stood at $202.0 million in 2022, then jumped by 56.44% to $316.0 million in 2023, then soared by 58.23% to $500.0 million in 2024, then slipped by 1.2% to $494.0 million in 2025, then climbed by 19.84% to $592.0 million in 2026.
- The last three EBT figures came in at $592.0 million (Q2 2026), $483.0 million (Q1 2026), and $494.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.42 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 533.27 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 533.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 592.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 465.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 592.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 354.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 143.99 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 175.23 Mn |
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 |
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();