Texas Roadhouse (TXRH) Net Short-Term Debt Issued (Repaid) (2010 - 2026)
Texas Roadhouse (TXRH) reported Current Debt of -$50 million for FY2023, compared with -$50 million in FY2022.
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Analysis
Texas Roadhouse (TXRH) Net Short-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
Dating back to FY2009, Texas Roadhouse's Current Debt record includes 10 years.
- Five-year annual Current Debt spans a low of -$140 million in FY2021 and a high of $240 million in FY2020.
- According to Business Quant data, Current Debt came in at -$50 million in FY2022, -$140 million in FY2021 and $240 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | 492.00 Mn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | - |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 325.00 Mn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 285.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 45.00 Mn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | - |
| 10 | Luckin Coffee | 11.15 Bn | 10.23 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 |
| Mar 29, 2016 | 25.00 Mn |
| Mar 27, 2012 | -10.00 Mn |
| Dec 28, 2010 | -10.00 Mn |
| Sep 28, 2010 | -17.00 Mn |
| Jun 29, 2010 | -10.00 Mn |
| Mar 30, 2010 | -12.00 Mn |
API Access
Texas Roadhouse Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();