Restaurant Brands International Limited Partnership (RSTRF) Times Interest Earned (2016 - 2026)
Restaurant Brands International Limited Partnership's (RSTRF) Times Interest Earned was 5.77 for Q2 2026, up 57.8% from 3.66 a year earlier and up 17.2% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Times Interest Earned (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Restaurant Brands International Limited Partnership's Times Interest Earned came in at 5.12, up 11.3% year-over-year; for FY2016, it came in at 4.04, up 44.8% from FY2015.
- By year, Times Interest Earned came in at 2.79 in FY2015 (+310.3%) and 0.68 in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 8.16 |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 7.28 |
| 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 | 5.77 |
| 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 | 5.77 |
| Mar 31, 2026 | 4.93 |
| Jun 30, 2025 | 3.66 |
| Mar 31, 2025 | 3.35 |
| Mar 31, 2017 | 3.36 |
| Mar 31, 2016 | 3.27 |
API Access
Restaurant Brands International Limited Partnership Times Interest Earned 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=times-interest-earned&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();