Texas Roadhouse (TXRH) Price to FCF (2010 - 2026)
Texas Roadhouse's (TXRH) quarterly Price to FCF came in at 155.56 in Q2 2026, down 55.81% year-over-year from 352.04 in Q2 2025, and up 156.04% quarter-over-quarter from 60.76 in Q1 2026.
Texas Roadhouse (TXRH) Price to FCF (2010 - 2026) Analysis & Trends
Texas Roadhouse (TXRH) has reported Price to FCF for 17 consecutive years, with 155.56 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to FCF fell 55.81% year-over-year to 155.56 in Q2 2026; TTM through Jun 2026 was 31.18, a 7.37% decrease from a year earlier, with the FY2025 full-year figure at 32.27, up 7.27% from the prior year.
- Price to FCF was 155.56 for Q2 2026 at Texas Roadhouse, up from 60.76 in the prior quarter.
- Over five years, Price to FCF peaked at 747.24 in Q3 2025 and troughed at 41.98 in Q1 2022.
- A 5-year average of 213.04 and a median of 128.32 in 2023 frame the typical range for Price to FCF.
- Across the five-year window, Price to FCF jumped 557.46% in 2023 and slumped 68.13% in 2024, its largest moves.
- Over 5 years, Price to FCF stood at 140.96 in 2022, then decreased by 17.93% to 115.68 in 2023, then declined by 19.97% to 92.59 in 2024, then fell by 9.18% to 84.09 in 2025, then surged by 85.0% to 155.56 in 2026.
- The last three Price to FCF figures came in at 155.56 (Q2 2026), 60.76 (Q1 2026), and 84.09 (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 | 155.56 |
| Mar 31, 2026 | 60.76 |
| Dec 30, 2025 | 84.09 |
| Sep 30, 2025 | 747.24 |
| Jul 1, 2025 | 352.04 |
| Apr 1, 2025 | 69.95 |
| Dec 31, 2024 | 92.59 |
| Sep 24, 2024 | 245.67 |
| Jun 25, 2024 | 204.17 |
| Mar 26, 2024 | 61.38 |
| Dec 26, 2023 | 115.68 |
| Sep 26, 2023 | 479.19 |
| Jun 27, 2023 | 640.71 |
| Mar 28, 2023 | 58.22 |
| Dec 27, 2022 | 140.96 |
| Sep 27, 2022 | 187.09 |
| Jun 28, 2022 | 97.45 |
| Mar 29, 2022 | 41.98 |
| Dec 28, 2021 | 106.43 |
| Sep 28, 2021 | -3,145.34 |
Texas Roadhouse Price to FCF 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-fcf&ticker=TXRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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-fcf&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();