O Reilly Automotive (ORLY) Change in Account Payables (2009 - 2026)
O Reilly Automotive (ORLY) recorded Change in Account Payables of $149.28 million in Q2 2026, down 53.5% from $321.13 million a year earlier but up 10.1% from the prior quarter.
O Reilly Automotive (ORLY) Change in Account Payables (2009 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Change in Account Payables came in at $530.15 million as of Jun 30, 2026, down 16.5% year-over-year; for FY2025, it came in at $576.41 million, up 36.8% from FY2024.
- Annual Change in Account Payables has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Change in Account Payables came in at $421.36 million in FY2024 (+103.5%), $207.06 million in FY2023 (-82.5%), $1.18 billion in FY2022 (+131.9%) and $510.91 million in FY2021 (-12.0%).
- Quarterly Change in Account Payables has ranged from -$108.85 million in Q4 2023 to $321.13 million in Q2 2025 over the past five years.
- On a year-over-year basis, Change in Account Payables rose in three of the last five quarters, with growth averaging 34.6%.
- Peak year-over-year performance for Change in Account Payables in the last five years was growth of 255.4% in Q4 2022, against a decline of 96.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $135.53 million (Q1 2026), $43.81 million (Q4 2025) and $201.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 9.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 188.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -899.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | -35.81 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.17 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 149.28 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.28 Mn |
| Mar 31, 2026 | 135.53 Mn |
| Dec 31, 2025 | 43.81 Mn |
| Sep 30, 2025 | 201.52 Mn |
| Jun 30, 2025 | 321.13 Mn |
| Mar 31, 2025 | 9.95 Mn |
| Dec 31, 2024 | 168.91 Mn |
| Sep 30, 2024 | 134.87 Mn |
| Jun 30, 2024 | 111.48 Mn |
| Mar 31, 2024 | 6.11 Mn |
| Dec 31, 2023 | -108.85 Mn |
| Sep 30, 2023 | -19.39 Mn |
| Jun 30, 2023 | 162.60 Mn |
| Mar 31, 2023 | 172.70 Mn |
| Dec 31, 2022 | 306.36 Mn |
| Sep 30, 2022 | 315.49 Mn |
| Jun 30, 2022 | 315.73 Mn |
| Mar 31, 2022 | 247.28 Mn |
| Dec 31, 2021 | 86.20 Mn |
| Sep 30, 2021 | 25.93 Mn |
O Reilly Automotive Change in Account Payables 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-account-payables&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-account-payables", "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-account-payables&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();