O Reilly Automotive (ORLY) Change in Receivables (2009 - 2026)
O Reilly Automotive (ORLY) posted Change in Receivables of $7.66 million for Q3 2026, compared with -$7.07 million a year earlier and down 74.1% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Change in Receivables (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Receivables at O Reilly Automotive was $51.52 million, up 89.2% year-over-year; for FY2025, it was $35.51 million.
- Annual Change in Receivables shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's Change in Receivables was -$30.5 million in FY2024, $35.54 million in FY2023 (-53.2%), $75.86 million in FY2022 (+59.9%) and $47.43 million in FY2021 (+131.2%).
- Quarterly Change in Receivables has run from a low of -$70.3 million in Q3 2024 to a high of $45.72 million in Q1 2026 over five years.
- On a year-over-year basis, Change in Receivables increased in two of the last four quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q2 2022, with growth of 261.7%; the weakest was Q1 2023, with a decline of 92.3%.
- According to Business Quant data, Change in Receivables for the three prior quarters was $29.54 million (Q2 2026), $45.72 million (Q1 2026) and -$31.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 2.13 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 204.00 Mn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 26.00 Mn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 94.00 Mn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 29.54 Mn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | -55.00 Mn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | -11.57 Mn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.54 Mn |
| Mar 31, 2026 | 45.72 Mn |
| Dec 31, 2025 | -31.39 Mn |
| Sep 30, 2025 | -7.07 Mn |
| Jun 30, 2025 | 36.21 Mn |
| Mar 31, 2025 | 37.76 Mn |
| Dec 31, 2024 | -39.67 Mn |
| Sep 30, 2024 | -70.30 Mn |
| Jun 30, 2024 | 42.52 Mn |
| Mar 31, 2024 | 36.95 Mn |
| Dec 31, 2023 | -23.12 Mn |
| Sep 30, 2023 | 27.22 Mn |
| Jun 30, 2023 | 28.83 Mn |
| Mar 31, 2023 | 2.61 Mn |
| Dec 31, 2022 | 5.89 Mn |
| Sep 30, 2022 | 9.37 Mn |
| Jun 30, 2022 | 26.92 Mn |
| Mar 31, 2022 | 33.68 Mn |
| Dec 31, 2021 | -9.32 Mn |
| Sep 30, 2021 | 11.38 Mn |
API Access
O Reilly Automotive Change in 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=change-in-receivables&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();