Texas Roadhouse (TXRH) Receivables (2010 - 2026)
Texas Roadhouse's Receivables came in at $74.14 million for Q2 2026, up 14.0% from $65.01 million a year earlier and up 37.9% from the prior quarter.
Powered by 
Analysis
Texas Roadhouse (TXRH) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Texas Roadhouse's Receivables was $214.51 million, up 11.0% from FY2024.
- Receivables has increased in each of the last three years, with a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- Going back by year, Receivables was $193.17 million in FY2024 (+10.1%), $175.47 million in FY2023 (+16.8%), $150.26 million in FY2022 (-6.9%) and $161.36 million in FY2021 (+64.0%).
- The five-year range for quarterly Receivables is $37.8 million (Q3 2022) to $214.51 million (Q4 2025).
- Year-over-year, Receivables has increased for four consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q4 2021 (growth of 64.0%), and the weakest in Q3 2022 (a decline of 27.8%).
- Business Quant data shows TXRH's Receivables at $53.78 million (Q1 2026), $214.51 million (Q4 2025) and $61.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 74.14 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.14 Mn |
| Mar 31, 2026 | 53.78 Mn |
| Dec 30, 2025 | 214.51 Mn |
| Sep 30, 2025 | 61.13 Mn |
| Jul 1, 2025 | 65.01 Mn |
| Apr 1, 2025 | 50.85 Mn |
| Dec 31, 2024 | 193.17 Mn |
| Sep 24, 2024 | 52.34 Mn |
| Jun 25, 2024 | 68.60 Mn |
| Mar 26, 2024 | 53.91 Mn |
| Dec 26, 2023 | 175.47 Mn |
| Sep 26, 2023 | 48.97 Mn |
| Jun 27, 2023 | 60.54 Mn |
| Mar 28, 2023 | 41.53 Mn |
| Dec 27, 2022 | 150.26 Mn |
| Sep 27, 2022 | 37.80 Mn |
| Jun 28, 2022 | 45.47 Mn |
| Mar 29, 2022 | 45.15 Mn |
| Dec 28, 2021 | 161.36 Mn |
| Sep 28, 2021 | 52.35 Mn |
API Access
Texas Roadhouse Receivables 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=receivables&ticker=TXRH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TXRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();