Texas Roadhouse (TXRH) Goodwill & Intangibles (2010 - 2026)
Texas Roadhouse's Goodwill & Intangibles was $301.52 million in Q2 2026, up 23.3% from $244.62 million a year earlier but down 0.7% from the prior quarter.
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Analysis
Texas Roadhouse (TXRH) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Texas Roadhouse came in at $259.96 million, up 52.1% from FY2024.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $170.95 million in FY2024 (-1.3%), $173.17 million in FY2023 (+12.2%), $154.34 million in FY2022 (+20.1%) and $128.52 million in FY2021 (-0.6%).
- Quarterly Goodwill & Intangibles has moved between $128.52 million (Q4 2021) and $303.66 million (Q1 2026) over five years.
- Compared with a year earlier, Goodwill & Intangibles has increased for six straight quarters, with growth averaging 27.8% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q4 2025 (growth of 52.1%); the worst was Q1 2024 (a decline of 1.6%).
- Per Business Quant data, TXRH's Goodwill & Intangibles in the three quarters before Q2 2026 was $303.66 million (Q1 2026), $259.96 million (Q4 2025) and $243.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 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 |
|---|---|
| Jun 30, 2026 | 301.52 Mn |
| Mar 31, 2026 | 303.66 Mn |
| Dec 30, 2025 | 259.96 Mn |
| Sep 30, 2025 | 243.44 Mn |
| Jul 1, 2025 | 244.62 Mn |
| Apr 1, 2025 | 235.27 Mn |
| Dec 31, 2024 | 170.95 Mn |
| Sep 24, 2024 | 171.36 Mn |
| Jun 25, 2024 | 172.06 Mn |
| Mar 26, 2024 | 172.61 Mn |
| Dec 26, 2023 | 173.17 Mn |
| Sep 26, 2023 | 173.88 Mn |
| Jun 27, 2023 | 174.67 Mn |
| Mar 28, 2023 | 175.50 Mn |
| Dec 27, 2022 | 154.34 Mn |
| Sep 27, 2022 | 155.04 Mn |
| Jun 28, 2022 | 155.73 Mn |
| Mar 29, 2022 | 151.18 Mn |
| Dec 28, 2021 | 128.52 Mn |
| Sep 28, 2021 | 128.70 Mn |
API Access
Texas Roadhouse Goodwill & Intangibles 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-and-intangibles&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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-and-intangibles&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();