Texas Roadhouse (TXRH) Operating Expenses (2010 - 2026)
Texas Roadhouse (TXRH) recorded Operating Expenses of $1.54 billion in Q2 2026, up 12.6% from $1.37 billion a year earlier and up 3.4% from the prior quarter.
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Analysis
Texas Roadhouse (TXRH) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Texas Roadhouse's Operating Expenses came in at $5.75 billion as of Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $5.4 billion, up 11.3% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $4.86 billion in FY2024 (+13.5%), $4.28 billion in FY2023 (+15.8%), $3.69 billion in FY2022 (+16.7%) and $3.17 billion in FY2021 (+33.4%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2010.
- On a year-over-year basis, Operating Expenses has increased for 22 consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 6.6% (Q4 2025) to 35.4% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at $1.49 billion (Q1 2026), $1.39 billion (Q4 2025) and $1.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.54 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Bn |
| Mar 31, 2026 | 1.49 Bn |
| Dec 30, 2025 | 1.39 Bn |
| Sep 30, 2025 | 1.34 Bn |
| Jul 1, 2025 | 1.37 Bn |
| Apr 1, 2025 | 1.31 Bn |
| Dec 31, 2024 | 1.30 Bn |
| Sep 24, 2024 | 1.17 Bn |
| Jun 25, 2024 | 1.20 Bn |
| Mar 26, 2024 | 1.19 Bn |
| Dec 26, 2023 | 1.08 Bn |
| Sep 26, 2023 | 1.05 Bn |
| Jun 27, 2023 | 1.08 Bn |
| Mar 28, 2023 | 1.07 Bn |
| Dec 27, 2022 | 940.68 Mn |
| Sep 27, 2022 | 918.01 Mn |
| Jun 28, 2022 | 938.69 Mn |
| Mar 29, 2022 | 897.35 Mn |
| Dec 28, 2021 | 830.75 Mn |
| Sep 28, 2021 | 807.25 Mn |
API Access
Texas Roadhouse Operating Expenses 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=operating-expenses&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();