Texas Roadhouse (TXRH) EV to EBITDA (2010 - 2026)
Texas Roadhouse's (TXRH) quarterly EV to EBITDA came in at 87.49 in Q2 2026, up 3.14% year-over-year from 84.82 in Q2 2025, and up 19.91% quarter-over-quarter from 72.96 in Q1 2026.
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Texas Roadhouse (TXRH) EV to EBITDA (2010 - 2026) Analysis & Trends
Texas Roadhouse (TXRH) has reported EV to EBITDA for 17 consecutive years, with 87.49 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA rose 3.14% year-over-year to 87.49 in Q2 2026; TTM through Jun 2026 was 25.87, a 8.74% increase from a year earlier, with the FY2025 full-year figure at 23.01, up 0.89% from the prior year.
- EV to EBITDA was 87.49 for Q2 2026 at Texas Roadhouse, up from 72.96 in the prior quarter.
- Over five years, EV to EBITDA peaked at 113.11 in Q3 2024 and troughed at 56.37 in Q2 2022.
- A 5-year average of 84.01 and a median of 83.27 in 2025 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA declined 24.89% in 2022 and soared 34.15% in 2023, its largest moves.
- Over 5 years, EV to EBITDA stood at 89.29 in 2022, then climbed by 8.78% to 97.14 in 2023, then dropped by 12.45% to 85.04 in 2024, then surged by 32.83% to 112.96 in 2025, then fell by 22.55% to 87.49 in 2026.
- The last three EV to EBITDA figures came in at 87.49 (Q2 2026), 72.96 (Q1 2026), and 112.96 (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.49 |
| Mar 31, 2026 | 72.96 |
| Dec 30, 2025 | 112.96 |
| Sep 30, 2025 | 112.54 |
| Jul 1, 2025 | 84.82 |
| Apr 1, 2025 | 81.73 |
| Dec 31, 2024 | 85.04 |
| Sep 24, 2024 | 113.11 |
| Jun 25, 2024 | 78.93 |
| Mar 26, 2024 | 74.95 |
| Dec 26, 2023 | 97.14 |
| Sep 26, 2023 | 84.85 |
| Jun 27, 2023 | 75.62 |
| Mar 28, 2023 | 69.11 |
| Dec 27, 2022 | 89.29 |
| Sep 27, 2022 | 74.09 |
| Jun 28, 2022 | 56.37 |
| Mar 29, 2022 | 61.17 |
| Dec 28, 2021 | 90.96 |
| Sep 28, 2021 | 98.65 |
API Access
Texas Roadhouse EV to EBITDA 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=ev-to-ebitda&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();