O Reilly Automotive (ORLY) Receivables (2009 - 2026)
O Reilly Automotive (ORLY) recorded Receivables of $628.51 million in Q2 2026, up 13.8% from $552.1 million a year earlier and up 5.4% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive reported Receivables of $549.69 million, up 10.8% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $495.93 million in FY2024 (-3.8%), $515.49 million in FY2023 (+9.6%), $470.17 million in FY2022 (+21.9%) and $385.67 million in FY2021 (+16.8%).
- The Q2 2026 figure is the highest quarterly Receivables in data going back to Q4 2009.
- On a year-over-year basis, Receivables has increased for four consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 72.1% in Q4 2022, against a decline of 10.9% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $596.21 million (Q1 2026), $549.69 million (Q4 2025) and $601 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 764.92 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 628.51 Mn |
| Mar 31, 2026 | 596.21 Mn |
| Dec 31, 2025 | 549.69 Mn |
| Sep 30, 2025 | 601.00 Mn |
| Jun 30, 2025 | 552.10 Mn |
| Mar 31, 2025 | 522.09 Mn |
| Dec 31, 2024 | 495.93 Mn |
| Sep 30, 2024 | 556.25 Mn |
| Jun 30, 2024 | 619.90 Mn |
| Mar 31, 2024 | 577.09 Mn |
| Dec 31, 2023 | 515.49 Mn |
| Sep 30, 2023 | 556.38 Mn |
| Jun 30, 2023 | 513.38 Mn |
| Mar 31, 2023 | 474.80 Mn |
| Dec 31, 2022 | 470.17 Mn |
| Sep 30, 2022 | 473.71 Mn |
| Jun 30, 2022 | 453.78 Mn |
| Mar 31, 2022 | 404.37 Mn |
| Dec 31, 2021 | 273.26 Mn |
| Sep 30, 2021 | 393.77 Mn |
API Access
O Reilly Automotive 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=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();