Restaurant Brands International Limited Partnership (RSTRF) Other Non-Current Liabilities (2013 - 2026)
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Other Non-Current Liabilities (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 895.00 Mn |
| Jun 30, 2026 | 900.00 Mn |
| Mar 31, 2026 | 931.00 Mn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 977.00 Mn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 733.00 Mn |
| Dec 31, 2024 | 706.00 Mn |
| Sep 30, 2024 | 931.00 Mn |
| Jun 30, 2024 | 823.00 Mn |
| Mar 31, 2024 | 862.00 Mn |
| Dec 31, 2023 | 996.00 Mn |
| Sep 30, 2023 | 864.00 Mn |
| Jun 30, 2023 | 960.00 Mn |
| Mar 31, 2023 | 895.00 Mn |
| Dec 31, 2022 | 872.00 Mn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 1.48 Bn |
| Mar 31, 2022 | 1.69 Bn |
| Dec 31, 2021 | 1.82 Bn |
API Access
Restaurant Brands International Limited Partnership Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();