Texas Roadhouse (TXRH) Inventory (2010 - 2026)
Texas Roadhouse (TXRH) recorded Inventory of $49.69 million in Q2 2026, up 8.7% from $45.73 million a year earlier and up 7.9% from the prior quarter.
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Analysis
Texas Roadhouse (TXRH) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Texas Roadhouse reported Inventory of $45.56 million, up 11.8% from FY2024.
- Annual Inventory has increased for 15 straight years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $40.76 million in FY2024 (+6.4%), $38.32 million in FY2023 (+0.8%), $38.02 million in FY2022 (+20.3%) and $31.6 million in FY2021 (+41.3%).
- The Q2 2026 figure is the highest quarterly Inventory in data going back to Q4 2010.
- On a year-over-year basis, Inventory has increased for 59 consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- The year-over-year growth in Inventory has ranged between 0.8% (Q4 2023) and 41.3% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $46.04 million (Q1 2026), $45.56 million (Q4 2025) and $45.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 46.62 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 49.69 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 424.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.69 Mn |
| Mar 31, 2026 | 46.04 Mn |
| Dec 30, 2025 | 45.56 Mn |
| Sep 30, 2025 | 45.48 Mn |
| Jul 1, 2025 | 45.73 Mn |
| Apr 1, 2025 | 43.94 Mn |
| Dec 31, 2024 | 40.76 Mn |
| Sep 24, 2024 | 39.84 Mn |
| Jun 25, 2024 | 41.20 Mn |
| Mar 26, 2024 | 38.38 Mn |
| Dec 26, 2023 | 38.32 Mn |
| Sep 26, 2023 | 36.59 Mn |
| Jun 27, 2023 | 38.12 Mn |
| Mar 28, 2023 | 36.81 Mn |
| Dec 27, 2022 | 38.02 Mn |
| Sep 27, 2022 | 32.91 Mn |
| Jun 28, 2022 | 31.83 Mn |
| Mar 29, 2022 | 30.04 Mn |
| Dec 28, 2021 | 31.60 Mn |
| Sep 28, 2021 | 27.78 Mn |
API Access
Texas Roadhouse 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=inventory&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();