Texas Roadhouse (TXRH) Revenue (2010 - 2026)
Texas Roadhouse (TXRH) recorded Revenue of $1.68 billion in Q2 2026, up 11.1% from $1.51 billion a year earlier and up 2.9% from the prior quarter.
Texas Roadhouse (TXRH) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Texas Roadhouse's Revenue came in at $6.23 billion as of Jun 30, 2026, up 9.9% year-over-year; for FY2025, it came in at $5.88 billion, up 9.4% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $5.37 billion in FY2024 (+16.0%), $4.63 billion in FY2023 (+15.4%), $4.01 billion in FY2022 (+15.9%) and $3.46 billion in FY2021 (+44.4%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q1 2010.
- On a year-over-year basis, Revenue has increased for 22 consecutive quarters, with growth averaging 12.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 3.1% (Q4 2025) to 40.4% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at $1.63 billion (Q1 2026), $1.48 billion (Q4 2025) and $1.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.68 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 Bn |
| Mar 31, 2026 | 1.63 Bn |
| Dec 30, 2025 | 1.48 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jul 1, 2025 | 1.51 Bn |
| Apr 1, 2025 | 1.45 Bn |
| Dec 31, 2024 | 1.44 Bn |
| Sep 24, 2024 | 1.27 Bn |
| Jun 25, 2024 | 1.34 Bn |
| Mar 26, 2024 | 1.32 Bn |
| Dec 26, 2023 | 1.16 Bn |
| Sep 26, 2023 | 1.12 Bn |
| Jun 27, 2023 | 1.17 Bn |
| Mar 28, 2023 | 1.17 Bn |
| Dec 27, 2022 | 1.01 Bn |
| Sep 27, 2022 | 993.30 Mn |
| Jun 28, 2022 | 1.02 Bn |
| Mar 29, 2022 | 987.49 Mn |
| Dec 28, 2021 | 895.59 Mn |
| Sep 28, 2021 | 868.94 Mn |
Texas Roadhouse Revenue 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=revenue&ticker=TXRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();