Texas Roadhouse (TXRH) EBITDA (2010 - 2026)
Texas Roadhouse's EBITDA came in at $201.13 million for Q2 2026, up 2.1% from $197.09 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Texas Roadhouse (TXRH) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Texas Roadhouse reported EBITDA of $705.08 million, down 1.4% year-over-year; for FY2025, it came in at $681.38 million, down 1.9% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 36.9% (FY2020 to FY2025).
- Going back by year, EBITDA was $694.68 million in FY2024 (+37.0%), $507.19 million in FY2023 (+10.9%), $457.43 million in FY2022 (+7.9%) and $423.95 million in FY2021 (+199.1%).
- The five-year range for quarterly EBITDA is $93.33 million (Q3 2021) to $203.18 million (Q1 2026).
- Year-over-year, EBITDA increased in seven of the last eight quarters, with growth averaging 10.9%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2021 (growth of 91.7%), and the weakest in Q4 2025 (a decline of 19.5%).
- Business Quant data shows TXRH's EBITDA at $203.18 million (Q1 2026), $151.19 million (Q4 2025) and $149.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.13 Mn |
| Mar 31, 2026 | 203.18 Mn |
| Dec 30, 2025 | 151.19 Mn |
| Sep 30, 2025 | 149.58 Mn |
| Jul 1, 2025 | 197.09 Mn |
| Apr 1, 2025 | 183.53 Mn |
| Dec 31, 2024 | 187.79 Mn |
| Sep 24, 2024 | 146.53 Mn |
| Jun 25, 2024 | 185.73 Mn |
| Mar 26, 2024 | 174.62 Mn |
| Dec 26, 2023 | 124.21 Mn |
| Sep 26, 2023 | 112.98 Mn |
| Jun 27, 2023 | 132.83 Mn |
| Mar 28, 2023 | 137.17 Mn |
| Dec 27, 2022 | 104.32 Mn |
| Sep 27, 2022 | 109.02 Mn |
| Jun 28, 2022 | 120.34 Mn |
| Mar 29, 2022 | 123.76 Mn |
| Dec 28, 2021 | 97.45 Mn |
| Sep 28, 2021 | 93.33 Mn |
API Access
Texas Roadhouse 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=ebitda&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();