Texas Roadhouse (TXRH) Price to Earnings (2010 - 2026)
Texas Roadhouse's (TXRH) quarterly Price to Earnings came in at 103.93 in Q2 2026, up 2.57% year-over-year from 101.33 in Q2 2025, and up 18.02% quarter-over-quarter from 88.07 in Q1 2026.
Texas Roadhouse (TXRH) Price to Earnings (2010 - 2026) Analysis & Trends
Texas Roadhouse (TXRH) has reported Price to Earnings for 17 consecutive years, with 103.93 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings rose 2.57% year-over-year to 103.93 in Q2 2026; TTM through Jun 2026 was 30.67, a 6.84% increase from a year earlier, with the FY2025 full-year figure at 27.22, down 1.75% from the prior year.
- Price to Earnings was 103.93 for Q2 2026 at Texas Roadhouse, up from 88.07 in the prior quarter.
- Over five years, Price to Earnings peaked at 138.77 in Q3 2024 and troughed at 69.16 in Q2 2022.
- A 5-year average of 100.58 and a median of 98.89 in 2023 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings decreased 26.13% in 2022 and jumped 40.04% in 2024, its largest moves.
- Over 5 years, Price to Earnings stood at 105.34 in 2022, then gained by 7.81% to 113.57 in 2023, then declined by 8.69% to 103.7 in 2024, then increased by 25.77% to 130.43 in 2025, then decreased by 20.31% to 103.93 in 2026.
- The last three Price to Earnings figures came in at 103.93 (Q2 2026), 88.07 (Q1 2026), and 130.43 (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 | 103.93 |
| Mar 31, 2026 | 88.07 |
| Dec 30, 2025 | 130.43 |
| Sep 30, 2025 | 132.30 |
| Jul 1, 2025 | 101.33 |
| Apr 1, 2025 | 98.69 |
| Dec 31, 2024 | 103.70 |
| Sep 24, 2024 | 138.77 |
| Jun 25, 2024 | 95.34 |
| Mar 26, 2024 | 89.88 |
| Dec 26, 2023 | 113.57 |
| Sep 26, 2023 | 99.09 |
| Jun 27, 2023 | 88.82 |
| Mar 28, 2023 | 82.39 |
| Dec 27, 2022 | 105.34 |
| Sep 27, 2022 | 92.23 |
| Jun 28, 2022 | 69.16 |
| Mar 29, 2022 | 77.44 |
| Dec 28, 2021 | 117.19 |
| Sep 28, 2021 | 123.71 |
Texas Roadhouse Price to Earnings 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=price-to-earnings&ticker=TXRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();