Texas Roadhouse (TXRH) Change in Inventory (2010 - 2026)
Texas Roadhouse's Change in Inventory came in at $3.64 million for Q2 2026, up 204.7% from $1.2 million a year earlier.
Powered by 
Analysis
Texas Roadhouse (TXRH) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Texas Roadhouse reported Change in Inventory of $3.42 million, down 4.5% year-over-year; for FY2025, it was $3.65 million, up 49.7% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $2.44 million in FY2024, -$105,000 in FY2023, $6.1 million in FY2022 (-33.9%) and $9.23 million in FY2021 (+357.7%).
- The Q2 2026 figure represents the highest quarterly Change in Inventory since Q4 2022.
- Year-over-year, Change in Inventory increased in 1 of the last four quarters, with growth averaging 1.4%.
- The fastest year-over-year change in Change in Inventory over five years came in Q2 2026 (growth of 204.7%), and the weakest in Q1 2026 (a decline of 94.2%).
- Business Quant data shows TXRH's Change in Inventory at $163,000 (Q1 2026), -$129,000 (Q4 2025) and -$254,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | - |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 54.40 Mn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 1.97 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | -19.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 38.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.64 Mn |
| 10 | Dominos Pizza | 9.98 Bn | 9.32 Bn | 478.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.64 Mn |
| Mar 31, 2026 | 163,000.00 |
| Dec 30, 2025 | -129,000.00 |
| Sep 30, 2025 | -254,000.00 |
| Jul 1, 2025 | 1.20 Mn |
| Apr 1, 2025 | 2.83 Mn |
| Dec 31, 2024 | 914,000.00 |
| Sep 24, 2024 | -1.36 Mn |
| Jun 25, 2024 | 2.82 Mn |
| Mar 26, 2024 | 64,000.00 |
| Dec 26, 2023 | 1.73 Mn |
| Sep 26, 2023 | -1.53 Mn |
| Jun 27, 2023 | 1.31 Mn |
| Mar 28, 2023 | -1.61 Mn |
| Dec 27, 2022 | 5.11 Mn |
| Sep 27, 2022 | 1.07 Mn |
| Jun 28, 2022 | 1.74 Mn |
| Mar 29, 2022 | -1.82 Mn |
| Dec 28, 2021 | 3.81 Mn |
| Sep 28, 2021 | 2.15 Mn |
API Access
Texas Roadhouse Change in Inventory 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=change-in-inventory&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();