Restaurant Brands International Limited Partnership (RSTRF) Revenue (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) posted 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 Limited Partnership (RSTRF) Revenue (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Restaurant Brands International Limited Partnership was $9.7 billion, up 6.5% year-over-year; for FY2025, it was $9.43 billion, up 12.2% from FY2024.
- Annual Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In prior years, Restaurant Brands International Limited Partnership's Revenue was $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 stands as the highest quarterly Revenue in data going back to Q4 2013.
- On a year-over-year basis, Revenue has increased in each of the last 22 quarters, with growth averaging 14.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 4.6% (Q2 2026) to 26.2% (Q4 2024).
- According to Business Quant data, Revenue for the three prior quarters was $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 | 171.89 Bn | 166.71 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 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 | 15.57 Bn | 9.23 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.68 Bn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 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 Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();