Texas Roadhouse (TXRH) Net Debt Issuances and Repayments (2010 - 2026)
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Analysis
Texas Roadhouse (TXRH) Net Debt Issuances and Repayments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | -88.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | -1.82 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 319.00 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 | 280.60 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 | 45.00 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 31, 2026 | 50.00 Mn |
| Mar 28, 2023 | -50.00 Mn |
| Dec 27, 2022 | -25.00 Mn |
| Dec 28, 2021 | -90.00 Mn |
| Jun 30, 2020 | 50.00 Mn |
| Mar 31, 2020 | 190.00 Mn |
| 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 | 24.97 Mn |
| Dec 29, 2015 | -33,000.00 |
| Sep 29, 2015 | -32,000.00 |
API Access
Texas Roadhouse Net Debt Issuances and 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=net-debt-issuances-and-repayments&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-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=net-debt-issuances-and-repayments&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();