Texas Roadhouse (TXRH) Cash & Equivalents (2010 - 2026)
Texas Roadhouse (TXRH) posted Cash & Equivalents of $202.43 million for Q2 2026, up 14.5% from $176.8 million a year earlier but down 5.7% from the prior quarter.
Texas Roadhouse (TXRH) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Texas Roadhouse's Cash & Equivalents came in at $134.71 million, down 45.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -18.0% (FY2020 to FY2025).
- In prior years, Texas Roadhouse's Cash & Equivalents was $245.23 million in FY2024 (+135.2%), $104.25 million in FY2023 (-40.0%), $173.86 million in FY2022 (-48.2%) and $335.65 million in FY2021 (-7.6%).
- Quarterly Cash & Equivalents has run from a low of $69.32 million in Q3 2023 to a high of $436.56 million in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 28.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2024, with growth of 172.9%; the weakest was Q2 2022, with a decline of 62.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $214.56 million (Q1 2026), $134.71 million (Q4 2025) and $108.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.79 Bn | 191.61 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 121.02 Bn | 108.65 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 45.33 Bn | 42.21 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 44.75 Bn | 41.25 Bn | - | 634.21 Mn |
| 5 | Restaurant Brands International | 27.39 Bn | 24.77 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.86 Bn | 24.96 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 11.53 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 12.58 Bn | 11.94 Bn | - | 202.43 Mn |
| 10 | Dominos Pizza | 11.24 Bn | 10.49 Bn | 476.38 Mn | 229.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.43 Mn |
| Mar 31, 2026 | 214.56 Mn |
| Dec 30, 2025 | 134.71 Mn |
| Sep 30, 2025 | 108.17 Mn |
| Jul 1, 2025 | 176.80 Mn |
| Apr 1, 2025 | 221.09 Mn |
| Dec 31, 2024 | 245.23 Mn |
| Sep 24, 2024 | 189.21 Mn |
| Jun 25, 2024 | 197.45 Mn |
| Mar 26, 2024 | 213.43 Mn |
| Dec 26, 2023 | 104.25 Mn |
| Sep 26, 2023 | 69.32 Mn |
| Jun 27, 2023 | 107.32 Mn |
| Mar 28, 2023 | 156.14 Mn |
| Dec 27, 2022 | 173.86 Mn |
| Sep 27, 2022 | 185.32 Mn |
| Jun 28, 2022 | 180.41 Mn |
| Mar 29, 2022 | 325.72 Mn |
| Dec 28, 2021 | 335.65 Mn |
| Sep 28, 2021 | 436.56 Mn |
Texas Roadhouse Cash & Equivalents 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=cash-and-equivalents&ticker=TXRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();