Texas Roadhouse (TXRH) Goodwill (2010 - 2026)
Texas Roadhouse's (TXRH) quarterly Goodwill came in at $275.0 million in Q2 2026, up 19.61% year-over-year from $229.9 million in Q2 2025, and little changed quarter-over-quarter from $275.0 million in Q1 2026.
Texas Roadhouse (TXRH) Goodwill (2010 - 2026) Analysis & Trends
Texas Roadhouse (TXRH) has reported Goodwill for 17 consecutive years, with $275.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Goodwill rose 19.61% year-over-year to $275.0 million in Q2 2026; TTM through Jun 2026 was $275.0 million, a 19.61% increase from a year earlier, with the FY2025 full-year figure at $242.2 million, changed N/A from the prior year.
- Goodwill was $275.0 million for Q2 2026 at Texas Roadhouse, roughly flat from $275.0 million in the prior quarter.
- Over five years, Goodwill peaked at $275.0 million in Q1 2026 and troughed at $144.3 million in Q1 2022.
- A 5-year average of $191.2 million and a median of $169.7 million in 2023 frame the typical range for Goodwill.
- Across the five-year window, Goodwill changed 0.0% in 2024 and jumped 35.73% in 2025, its largest moves.
- Over 5 years, Goodwill stood at $148.7 million in 2022, then grew by 14.09% to $169.7 million in 2023, then changed by 0.0% to $169.7 million in 2024, then jumped by 42.75% to $242.2 million in 2025, then grew by 13.55% to $275.0 million in 2026.
- The last three Goodwill figures came in at $275.0 million (Q2 2026), $275.0 million (Q1 2026), and $242.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 275.04 Mn |
| Mar 31, 2026 | 275.04 Mn |
| Dec 30, 2025 | 242.22 Mn |
| Sep 30, 2025 | 230.31 Mn |
| Jul 1, 2025 | 229.94 Mn |
| Apr 1, 2025 | 218.92 Mn |
| Sep 24, 2024 | 169.68 Mn |
| Jun 25, 2024 | 169.68 Mn |
| Mar 26, 2024 | 169.68 Mn |
| Dec 26, 2023 | 169.68 Mn |
| Sep 26, 2023 | 169.68 Mn |
| Jun 27, 2023 | 169.68 Mn |
| Mar 28, 2023 | 169.64 Mn |
| Dec 27, 2022 | 148.73 Mn |
| Sep 27, 2022 | 148.73 Mn |
| Jun 28, 2022 | 148.73 Mn |
| Mar 29, 2022 | 144.33 Mn |
| Dec 28, 2021 | 127.00 Mn |
| Sep 28, 2021 | 127.00 Mn |
| Jun 29, 2021 | 127.00 Mn |
Texas Roadhouse Goodwill 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=goodwill&ticker=TXRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();