Texas Roadhouse (TXRH) Total Liabilities (2010 - 2026)
Texas Roadhouse's Total Liabilities came in at $2.09 billion for Q2 2026, up 16.9% from $1.79 billion a year earlier and up 2.7% from the prior quarter.
Powered by 
Analysis
Texas Roadhouse (TXRH) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Texas Roadhouse's Total Liabilities was $2.07 billion, up 13.8% from FY2024.
- Total Liabilities has increased in each of the last 15 years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.82 billion in FY2024 (+11.1%), $1.64 billion in FY2023 (+9.2%), $1.5 billion in FY2022 (+4.1%) and $1.44 billion in FY2021 (+4.1%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for 16 consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 16.9%), and the weakest in Q2 2022 (a decline of 1.3%).
- Business Quant data shows TXRH's Total Liabilities at $2.04 billion (Q1 2026), $2.07 billion (Q4 2025) and $1.79 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 2.09 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 2.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.09 Bn |
| Mar 31, 2026 | 2.04 Bn |
| Dec 30, 2025 | 2.07 Bn |
| Sep 30, 2025 | 1.79 Bn |
| Jul 1, 2025 | 1.79 Bn |
| Apr 1, 2025 | 1.80 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Sep 24, 2024 | 1.59 Bn |
| Jun 25, 2024 | 1.58 Bn |
| Mar 26, 2024 | 1.61 Bn |
| Dec 26, 2023 | 1.64 Bn |
| Sep 26, 2023 | 1.43 Bn |
| Jun 27, 2023 | 1.42 Bn |
| Mar 28, 2023 | 1.40 Bn |
| Dec 27, 2022 | 1.50 Bn |
| Sep 27, 2022 | 1.37 Bn |
| Jun 28, 2022 | 1.37 Bn |
| Mar 29, 2022 | 1.40 Bn |
| Dec 28, 2021 | 1.44 Bn |
| Sep 28, 2021 | 1.36 Bn |
API Access
Texas Roadhouse Total Liabilities 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=total-liabilities&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();