Texas Roadhouse (TXRH) Debt Ratio (2010 - 2026)
Texas Roadhouse's (TXRH) Debt Ratio came in at 0.01 for Q2 2026, down 2.7% from the prior quarter.
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Analysis
Texas Roadhouse (TXRH) Debt Ratio (2010 - 2026) Analysis & Trends
For FY2022, Texas Roadhouse's Debt Ratio stood at 0.02, down 50.3% from FY2021.
- In prior years, Texas Roadhouse's Debt Ratio was 0.04 in FY2021 (-61.4%), 0.10 in FY2020 and 0.00 in FY2018 (-96.4%).
- The Q2 2026 figure stands as the lowest quarterly Debt Ratio since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 0.67 |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 0.47 |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.41 |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 0.53 |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 0.20 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 0.53 |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 0.01 |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 0.01 |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.01 |
| Mar 31, 2026 | 0.01 |
| Dec 27, 2022 | 0.02 |
| Sep 27, 2022 | 0.03 |
| Jun 28, 2022 | 0.03 |
| Mar 29, 2022 | 0.04 |
| Dec 28, 2021 | 0.04 |
| Sep 28, 2021 | 0.08 |
| Jun 29, 2021 | 0.08 |
| Mar 30, 2021 | 0.10 |
| Dec 29, 2020 | 0.10 |
| Sep 29, 2020 | 0.11 |
| Jun 30, 2020 | 0.11 |
| Mar 31, 2020 | 0.09 |
| Dec 25, 2018 | 0.00 |
| Sep 25, 2018 | 0.00 |
| Jun 26, 2018 | 0.00 |
| Mar 27, 2018 | 0.04 |
| Dec 26, 2017 | 0.04 |
| Sep 26, 2017 | 0.04 |
API Access
Texas Roadhouse Debt Ratio 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=debt-ratio&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();