Texas Roadhouse (TXRH) Long-Term Debt Repayments (2010 - 2018)
Texas Roadhouse's Long-Term Debt Repayments came in at $36,000 for Q2 2016, up 9.1% from $33,000 a year earlier and up 2.9% from the prior quarter.
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Analysis
Texas Roadhouse (TXRH) Long-Term Debt Repayments (2010 - 2018) Analysis & Trends
Over the trailing twelve months to Jun 28, 2016, Texas Roadhouse reported Long-Term Debt Repayments of $136,000, up 19.3% year-over-year; for FY2015, it came in at $128,000, down 68.9% from FY2014.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -12.2% (FY2010 to FY2015).
- Going back by year, Long-Term Debt Repayments was $411,000 in FY2014 (+11.4%), $369,000 in FY2013 (+21.8%), $303,000 in FY2012 (+10.2%) and $275,000 in FY2011 (+11.8%).
- The Q2 2016 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2014.
- Year-over-year, Long-Term Debt Repayments has increased for four consecutive quarters, with an average decline of 24.4% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2014 (growth of 248.2%), and the weakest in Q2 2015 (a decline of 88.6%).
- Business Quant data shows TXRH's Long-Term Debt Repayments at $35,000 (Q1 2016), $33,000 (Q4 2015) and $32,000 (Q3 2015) in the three quarters before Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 29.00 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 |
|---|---|
| Dec 25, 2018 | -7,000.00 |
| Sep 25, 2018 | 3,000.00 |
| Jun 26, 2018 | 50.00 Mn |
| Mar 27, 2018 | 2,000.00 |
| Dec 26, 2017 | 3,000.00 |
| Sep 26, 2017 | 474,000.00 |
| Jun 27, 2017 | 41,000.00 |
| Mar 28, 2017 | 40,000.00 |
| Dec 27, 2016 | 39,000.00 |
| Sep 27, 2016 | 35,000.00 |
| Jun 28, 2016 | 36,000.00 |
| Mar 29, 2016 | 35,000.00 |
| Dec 29, 2015 | 33,000.00 |
| Sep 29, 2015 | 32,000.00 |
| Jun 30, 2015 | 33,000.00 |
| Mar 31, 2015 | 30,000.00 |
| Dec 30, 2014 | 1.08 Mn |
| Sep 30, 2014 | 20,000.00 |
| Jul 1, 2014 | 289,000.00 |
| Apr 1, 2014 | 71,000.00 |
API Access
Texas Roadhouse Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();