Restaurant Brands International (QSR) Revenue (2013 - 2026)
Restaurant Brands International (QSR) reported Revenue of $2.52 billion for Q2 2026, up 4.6% from $2.41 billion a year earlier and up 11.3% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Revenue (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Restaurant Brands International's Revenue came in at $9.7 billion, up 6.5% year-over-year; for FY2025, it came in at $9.43 billion, up 12.2% from FY2024.
- Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Revenue came in at $8.41 billion in FY2024 (+19.7%), $7.02 billion in FY2023 (+7.9%), $6.51 billion in FY2022 (+13.3%) and $5.74 billion in FY2021 (+15.5%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q4 2013.
- Year over year, Revenue has now increased in each of the last 22 quarters, with growth averaging 14.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 4.6% in Q2 2026 to 26.2% in Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.26 billion (Q1 2026), $2.47 billion (Q4 2025) and $2.45 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.13 Bn | 166.95 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 109.42 Bn | 97.05 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 39.34 Bn | 35.32 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 25.76 Bn | 21.31 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 15.60 Bn | 9.26 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.23 Bn | 10.57 Bn | - | 1.68 Bn |
| 10 | Luckin Coffee | 10.65 Bn | 9.74 Bn | - | - |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();