Restaurant Brands International Limited Partnership (RSTRF) Intangibles (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) recorded Intangibles of $10.95 billion in Q2 2026, down 3.0% from $11.28 billion a year earlier and down 1.2% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Intangibles (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International Limited Partnership reported Intangibles of $11.19 billion, up 2.5% from FY2024.
- Annual Intangibles has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $10.92 billion in FY2024 (-1.7%), $11.11 billion in FY2023 (+1.1%), $10.99 billion in FY2022 (-3.7%) and $11.42 billion in FY2021 (+6.7%).
- The Q2 2026 figure is the lowest quarterly Intangibles since Q1 2025.
- On a year-over-year basis, Intangibles rose in four of the last eight quarters, with growth averaging 0.1%.
- Peak year-over-year performance for Intangibles in the last five years was growth of 6.7% in Q4 2021, against a decline of 3.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.08 billion (Q1 2026), $11.19 billion (Q4 2025) and $11.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 172.30 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 807.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 10.95 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 1.35 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 10.95 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 151.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 26.49 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.95 Bn |
| Mar 31, 2026 | 11.08 Bn |
| Dec 31, 2025 | 11.19 Bn |
| Sep 30, 2025 | 11.13 Bn |
| Jun 30, 2025 | 11.28 Bn |
| Mar 31, 2025 | 10.93 Bn |
| Dec 31, 2024 | 10.92 Bn |
| Sep 30, 2024 | 11.35 Bn |
| Jun 30, 2024 | 11.27 Bn |
| Mar 31, 2024 | 10.97 Bn |
| Dec 31, 2023 | 11.11 Bn |
| Sep 30, 2023 | 10.95 Bn |
| Jun 30, 2023 | 11.12 Bn |
| Mar 31, 2023 | 11.01 Bn |
| Dec 31, 2022 | 10.99 Bn |
| Sep 30, 2022 | 10.83 Bn |
| Jun 30, 2022 | 11.30 Bn |
| Mar 31, 2022 | 11.45 Bn |
| Dec 31, 2021 | 11.42 Bn |
| Sep 30, 2021 | 10.65 Bn |
API Access
Restaurant Brands International Limited Partnership Intangibles 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=intangibles&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();