Texas Roadhouse (TXRH) Sales of Property, Plant and Equipment (2010 - 2025)
Analysis
Texas Roadhouse (TXRH) Sales of Property, Plant and Equipment (2010 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 137.00 Mn |
| 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 | 1.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 12.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 12.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 12.00 Mn |
| 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 | 7.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.07 Mn |
| Jul 1, 2025 | 6,000.00 |
| Apr 1, 2025 | 129,000.00 |
| Dec 31, 2024 | 1.24 Mn |
| Jun 25, 2024 | -5,000.00 |
| Mar 26, 2024 | 202,000.00 |
| Dec 26, 2023 | 310,000.00 |
| Sep 26, 2023 | 1.80 Mn |
| Dec 27, 2022 | 7,000.00 |
| Sep 27, 2022 | 74,000.00 |
| Mar 29, 2022 | 2.19 Mn |
| Dec 29, 2020 | 1.68 Mn |
| Sep 29, 2020 | -2.14 Mn |
| Mar 31, 2020 | 2.17 Mn |
| Dec 31, 2019 | 705,000.00 |
| Sep 29, 2015 | 263,000.00 |
| Mar 31, 2015 | 9,000.00 |
| Dec 30, 2014 | 8,000.00 |
| Jul 1, 2014 | 1.20 Mn |
| Dec 31, 2013 | 62,000.00 |
API Access
Texas Roadhouse Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=TXRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();