Restaurant Brands International Limited Partnership (RSTRF) Assets (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) posted Assets of $25.02 billion for Q2 2026, down 2.6% from $25.69 billion a year earlier but up 0.6% from the prior quarter.
Restaurant Brands International Limited Partnership (RSTRF) Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International Limited Partnership's Assets came in at $25.62 billion, up 4.0% from FY2024.
- Annual Assets has increased for three consecutive years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In prior years, Restaurant Brands International Limited Partnership's Assets was $24.63 billion in FY2024 (+5.3%), $23.39 billion in FY2023 (+2.8%), $22.75 billion in FY2022 (-2.2%) and $23.25 billion in FY2021 (+2.1%).
- Quarterly Assets has run from a low of $22.53 billion in Q1 2023 to a high of $25.69 billion in Q2 2025 over five years.
- On a year-over-year basis, Assets increased in six of the last eight quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2024, with growth of 8.6%; the weakest was Q1 2023, with a decline of 2.8%.
- According to Business Quant data, Assets for the three prior quarters was $24.88 billion (Q1 2026), $25.62 billion (Q4 2025) and $25.67 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 59.92 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 28.29 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 8.68 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 8.86 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 25.02 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 13.23 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 25.02 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 10.87 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 3.67 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 4.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.02 Bn |
| Mar 31, 2026 | 24.88 Bn |
| Dec 31, 2025 | 25.62 Bn |
| Sep 30, 2025 | 25.67 Bn |
| Jun 30, 2025 | 25.69 Bn |
| Mar 31, 2025 | 24.88 Bn |
| Dec 31, 2024 | 24.63 Bn |
| Sep 30, 2024 | 25.07 Bn |
| Jun 30, 2024 | 24.85 Bn |
| Mar 31, 2024 | 23.15 Bn |
| Dec 31, 2023 | 23.39 Bn |
| Sep 30, 2023 | 23.08 Bn |
| Jun 30, 2023 | 23.13 Bn |
| Mar 31, 2023 | 22.53 Bn |
| Dec 31, 2022 | 22.75 Bn |
| Sep 30, 2022 | 22.56 Bn |
| Jun 30, 2022 | 22.75 Bn |
| Mar 31, 2022 | 23.17 Bn |
| Dec 31, 2021 | 23.25 Bn |
| Sep 30, 2021 | 22.93 Bn |
Restaurant Brands International Limited Partnership Assets 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=assets&ticker=RSTRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();