Restaurant Brands International Limited Partnership (RSTRF) Non Operating Interest Expenses (2016 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) recorded Non Operating Interest Expenses of $124 million in 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) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Restaurant Brands International Limited Partnership's Non Operating Interest Expenses came in at $509 million as of Jun 30, 2026, up 9.9% year-over-year; for FY2016, it was $412.2 million, down 3.4% from FY2015.
- Across earlier years, Non Operating Interest Expenses came in at $426.8 million in FY2015 (+60.5%) and $266 million in FY2014.
- Quarterly Non Operating Interest Expenses has ranged from $123 million in Q1 2026 to $132 million in Q2 2025 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();