Restaurant Brands International Limited Partnership (RSTRF) Interest Expenses (2016 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) reported Interest Expenses of $124 million for Q2 2026, down 6.1% from $132 million a year earlier but up 0.8% from the prior quarter.
Restaurant Brands International Limited Partnership (RSTRF) Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Restaurant Brands International Limited Partnership's Interest Expenses came in at $509 million, up 9.9% year-over-year; for FY2016, it was $412.2 million, down 3.4% from FY2015.
- By year, Interest Expenses came in at $426.8 million in FY2015 (+60.5%) and $266 million in FY2014.
- Five-year quarterly Interest Expenses spans a low of $123 million in Q1 2026 and a high of $132 million in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 134.60 Mn |
| 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 | 124.00 Mn |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.00 Mn |
| Mar 31, 2026 | 123.00 Mn |
| Jun 30, 2025 | 132.00 Mn |
| Mar 31, 2025 | 130.00 Mn |
| Mar 31, 2017 | 100.00 Mn |
| Mar 31, 2016 | 101.20 Mn |
Restaurant Brands International Limited Partnership Interest Expenses 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=interest-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();