Restaurant Brands International Limited Partnership (RSTRF) Non-Current Debt (2013 - 2026)
Restaurant Brands International Limited Partnership's Non-Current Debt was $6.68 billion in FY2014.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Non-Current Debt (2013 - 2026) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier years was $1.73 billion in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 11.78 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 9.46 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | - |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 13.21 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | -5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.21 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 50.00 Mn |
| 10 | Luckin Coffee | 10.88 Bn | 9.97 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.21 Bn |
| Mar 31, 2026 | 13.23 Bn |
| Dec 31, 2025 | 13.25 Bn |
| Sep 30, 2025 | 13.42 Bn |
| Jun 30, 2025 | 13.43 Bn |
| Mar 31, 2025 | 13.44 Bn |
| Dec 31, 2024 | 13.46 Bn |
| Sep 30, 2024 | 13.57 Bn |
| Jun 30, 2024 | 13.09 Bn |
| Mar 31, 2024 | 12.83 Bn |
| Dec 31, 2023 | 12.85 Bn |
| Sep 30, 2023 | 12.86 Bn |
| Jun 30, 2023 | 12.80 Bn |
| Mar 31, 2023 | 12.82 Bn |
| Dec 31, 2022 | 12.84 Bn |
| Sep 30, 2022 | 12.85 Bn |
| Jun 30, 2022 | 12.88 Bn |
| Mar 31, 2022 | 12.90 Bn |
| Dec 31, 2021 | 12.92 Bn |
| Sep 30, 2021 | 12.38 Bn |
API Access
Restaurant Brands International Limited Partnership Non-Current Debt 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=non-current-debt&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();