Texas Roadhouse (TXRH) Non Operating Interest Expenses (2010 - 2018)
Texas Roadhouse's Non Operating Interest Expenses came in at $359,000 for Q1 2018, up 8.1% from $332,000 a year earlier but down 1.9% from the prior quarter.
Powered by 
Analysis
Texas Roadhouse (TXRH) Non Operating Interest Expenses (2010 - 2018) Analysis & Trends
Over the trailing twelve months to Mar 27, 2018, Texas Roadhouse reported Non Operating Interest Expenses of $1.6 million, up 25.1% year-over-year; for FY2017, it was $1.58 million, up 25.7% from FY2016.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -7.6% (FY2012 to FY2017).
- Going back by year, Non Operating Interest Expenses was $1.26 million in FY2016 (-35.9%), $1.96 million in FY2015 (-6.0%), $2.08 million in FY2014 (-5.3%) and $2.2 million in FY2013 (-6.2%).
- The five-year range for quarterly Non Operating Interest Expenses is $288,000 (Q3 2016) to $567,000 (Q2 2013).
- Year-over-year, Non Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 1.8% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2017 (growth of 73.6%), and the weakest in Q1 2016 (a decline of 40.8%).
- Business Quant data shows TXRH's Non Operating Interest Expenses at $366,000 (Q4 2017), $500,000 (Q3 2017) and $379,000 (Q2 2017) in the three quarters before Q1 2018.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 27, 2018 | 359,000.00 |
| Dec 26, 2017 | 366,000.00 |
| Sep 26, 2017 | 500,000.00 |
| Jun 27, 2017 | 379,000.00 |
| Mar 28, 2017 | 332,000.00 |
| Dec 27, 2016 | 353,000.00 |
| Sep 27, 2016 | 288,000.00 |
| Jun 28, 2016 | 309,000.00 |
| Mar 29, 2016 | 305,000.00 |
| Dec 29, 2015 | 479,000.00 |
| Sep 29, 2015 | 470,000.00 |
| Jun 30, 2015 | 495,000.00 |
| Mar 31, 2015 | 515,000.00 |
| Dec 30, 2014 | 520,000.00 |
| Sep 30, 2014 | 492,000.00 |
| Jul 1, 2014 | 514,000.00 |
| Apr 1, 2014 | 558,000.00 |
| Dec 31, 2013 | 514,000.00 |
| Sep 24, 2013 | 525,000.00 |
| Jun 25, 2013 | 567,000.00 |
API Access
Texas Roadhouse 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=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TXRH", "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=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();