Restaurant Brands International (QSR) Revenue (2013 - 2026)
Restaurant Brands International's (QSR) quarterly Revenue came in at $2.5 billion in Q2 2026, up 4.56% year-over-year from $2.4 billion in Q2 2025, and up 11.31% quarter-over-quarter from $2.3 billion in Q1 2026.
Restaurant Brands International (QSR) Revenue (2013 - 2026) Analysis & Trends
Restaurant Brands International (QSR) has reported Revenue for 14 consecutive years, with $2.5 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Revenue rose 4.56% year-over-year to $2.5 billion in Q2 2026; TTM through Jun 2026 was $9.7 billion, a 6.51% increase from a year earlier, with the FY2025 full-year figure at $9.4 billion, up 12.23% from the prior year.
- Revenue was $2.5 billion for Q2 2026 at Restaurant Brands International, up from $2.3 billion in the prior quarter.
- Over five years, Revenue peaked at $2.5 billion in Q2 2026 and troughed at $1.5 billion in Q1 2022.
- A 5-year average of $2.0 billion and a median of $2.0 billion in 2023 frame the typical range for Revenue.
- Across the five-year window, Revenue climbed 26.15% in 2024 and grew 4.56% in 2026, its largest moves.
- Over 5 years, Revenue stood at $1.7 billion in 2022, then rose by 7.76% to $1.8 billion in 2023, then climbed by 26.15% to $2.3 billion in 2024, then gained by 7.4% to $2.5 billion in 2025, then rose by 2.19% to $2.5 billion in 2026.
- The last three Revenue figures came in at $2.5 billion (Q2 2026), $2.3 billion (Q1 2026), and $2.5 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 3.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.68 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.52 Bn |
| Mar 31, 2026 | 2.26 Bn |
| Dec 31, 2025 | 2.47 Bn |
| Sep 30, 2025 | 2.45 Bn |
| Jun 30, 2025 | 2.41 Bn |
| Mar 31, 2025 | 2.11 Bn |
| Dec 31, 2024 | 2.30 Bn |
| Sep 30, 2024 | 2.29 Bn |
| Jun 30, 2024 | 2.08 Bn |
| Mar 31, 2024 | 1.74 Bn |
| Dec 31, 2023 | 1.82 Bn |
| Sep 30, 2023 | 1.84 Bn |
| Jun 30, 2023 | 1.78 Bn |
| Mar 31, 2023 | 1.59 Bn |
| Dec 31, 2022 | 1.69 Bn |
| Sep 30, 2022 | 1.73 Bn |
| Jun 30, 2022 | 1.64 Bn |
| Mar 31, 2022 | 1.45 Bn |
| Dec 31, 2021 | 1.55 Bn |
| Sep 30, 2021 | 1.50 Bn |
Restaurant Brands International Revenue 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=revenue&ticker=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();