Restaurant Brands International Limited Partnership (RSTRF) Operating Leases (2013 - 2026)
Restaurant Brands International Limited Partnership's Operating Leases came in at $1.91 billion for Q2 2026, up 4.0% from $1.84 billion a year earlier but down 0.4% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Operating Leases (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International Limited Partnership's Operating Leases was $1.9 billion, up 7.3% from FY2024.
- Operating Leases has increased in each of the last three years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Going back by year, Operating Leases was $1.77 billion in FY2024 (+67.1%), $1.06 billion in FY2023 (+3.1%), $1.03 billion in FY2022 (-4.0%) and $1.07 billion in FY2021 (-1.1%).
- The five-year range for quarterly Operating Leases is $1 billion (Q3 2022) to $1.92 billion (Q1 2026).
- Year-over-year, Operating Leases has increased for 11 consecutive quarters, with growth averaging 29.5% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q3 2024 (growth of 77.0%), and the weakest in Q1 2023 (a decline of 5.1%).
- Business Quant data shows RSTRF's Operating Leases at $1.92 billion (Q1 2026), $1.9 billion (Q4 2025) and $1.84 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.91 Bn |
| Mar 31, 2026 | 1.92 Bn |
| Dec 31, 2025 | 1.90 Bn |
| Sep 30, 2025 | 1.84 Bn |
| Jun 30, 2025 | 1.84 Bn |
| Mar 31, 2025 | 1.78 Bn |
| Dec 31, 2024 | 1.77 Bn |
| Sep 30, 2024 | 1.78 Bn |
| Jun 30, 2024 | 1.77 Bn |
| Mar 31, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 1.04 Bn |
| Mar 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 1.00 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 1.06 Bn |
API Access
Restaurant Brands International Limited Partnership Operating Leases 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=operating-leases&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();