O Reilly Automotive (ORLY) Receivables - Net (2009 - 2026)
O Reilly Automotive's Receivables - Net was $457.79 million in Q2 2026, up 6.8% from $428.83 million a year earlier and up 6.2% from the prior quarter.
O Reilly Automotive (ORLY) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at O Reilly Automotive came in at $389.79 million, up 9.2% from FY2024.
- Receivables - Net shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In earlier years, Receivables - Net was $356.84 million in FY2024 (-4.9%), $375.05 million in FY2023 (+9.3%), $343.16 million in FY2022 (+25.9%) and $272.56 million in FY2021 (+18.7%).
- The Q2 2026 figure marks the highest quarterly Receivables - Net since Q2 2024.
- Compared with a year earlier, Receivables - Net has increased for four straight quarters, with growth averaging 0.8% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was Q2 2024 (growth of 26.9%); the worst was Q1 2025 (a decline of 10.4%).
- Per Business Quant data, ORLY's Receivables - Net in the three quarters before Q2 2026 was $431.17 million (Q1 2026), $389.79 million (Q4 2025) and $422.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 457.79 Mn |
| Mar 31, 2026 | 431.17 Mn |
| Dec 31, 2025 | 389.79 Mn |
| Sep 30, 2025 | 422.85 Mn |
| Jun 30, 2025 | 428.83 Mn |
| Mar 31, 2025 | 392.17 Mn |
| Dec 31, 2024 | 356.84 Mn |
| Sep 30, 2024 | 401.95 Mn |
| Jun 30, 2024 | 475.60 Mn |
| Mar 31, 2024 | 437.82 Mn |
| Dec 31, 2023 | 375.05 Mn |
| Sep 30, 2023 | 399.65 Mn |
| Jun 30, 2023 | 374.71 Mn |
| Mar 31, 2023 | 346.04 Mn |
| Dec 31, 2022 | 343.16 Mn |
| Sep 30, 2022 | 338.12 Mn |
| Jun 30, 2022 | 330.67 Mn |
| Mar 31, 2022 | 305.36 Mn |
| Dec 31, 2021 | 272.56 Mn |
| Sep 30, 2021 | 282.88 Mn |
O Reilly Automotive Receivables - Net 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-net&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "ORLY", "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-net&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();