Texas Roadhouse (TXRH) Change in Accured Expenses (2010 - 2026)
Texas Roadhouse's Change in Accured Expenses was $15.18 million in Q2 2026, down 34.2% from $23.05 million a year earlier.
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Analysis
Texas Roadhouse (TXRH) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Texas Roadhouse's Change in Accured Expenses was $9.88 million through Jun 30, 2026, down 68.1% year-over-year; for FY2025, it came in at $18.74 million, down 44.7% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $33.92 million in FY2024 (+150.9%), $13.52 million in FY2023, -$10.17 million in FY2022 and $20.35 million in FY2021 (+65.7%).
- Quarterly Change in Accured Expenses has moved between -$31.3 million (Q4 2022) and $23.05 million (Q2 2025) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2021 (growth of 690.3%); the worst was Q3 2023 (a decline of 82.1%).
- Per Business Quant data, TXRH's Change in Accured Expenses in the three quarters before Q2 2026 was -$10.17 million (Q1 2026), $9.06 million (Q4 2025) and -$4.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 4.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.69 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 15.18 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.18 Mn |
| Mar 31, 2026 | -10.17 Mn |
| Dec 30, 2025 | 9.06 Mn |
| Sep 30, 2025 | -4.19 Mn |
| Jul 1, 2025 | 23.05 Mn |
| Apr 1, 2025 | -9.18 Mn |
| Dec 31, 2024 | 13.28 Mn |
| Sep 24, 2024 | 3.78 Mn |
| Jun 25, 2024 | -861,000.00 |
| Mar 26, 2024 | 17.72 Mn |
| Dec 26, 2023 | 49,000.00 |
| Sep 26, 2023 | 849,000.00 |
| Jun 27, 2023 | 1.01 Mn |
| Mar 28, 2023 | 11.61 Mn |
| Dec 27, 2022 | -31.30 Mn |
| Sep 27, 2022 | 4.74 Mn |
| Jun 28, 2022 | 1.28 Mn |
| Mar 29, 2022 | 15.12 Mn |
| Dec 28, 2021 | -6.90 Mn |
| Sep 28, 2021 | 7.40 Mn |
API Access
Texas Roadhouse Change in Accured 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=change-in-accured-expenses&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();