O Reilly Automotive (ORLY) Change in Inventory (2009 - 2026)
O Reilly Automotive (ORLY) recorded Change in Inventory of $160.24 million in Q2 2026, down 22.1% from $205.82 million a year earlier but up 102.7% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Change in Inventory came in at $562.95 million as of Jun 30, 2026, down 6.1% year-over-year; for FY2025, it came in at $604.54 million, up 49.7% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $403.89 million in FY2024 (+40.1%), $288.32 million in FY2023 (-56.9%), $669.05 million in FY2022 and $32.63 million in FY2021 (-83.6%).
- Quarterly Change in Inventory has ranged from -$6.91 million in Q2 2024 to $218.06 million in Q4 2022 over the past five years.
- On a year-over-year basis, Change in Inventory rose in three of the last six quarters, with growth averaging 111.9%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 683.5% in Q4 2024, against a decline of 95.0% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.07 million (Q1 2026), $118.17 million (Q4 2025) and $205.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.24 Mn |
| Mar 31, 2026 | 79.07 Mn |
| Dec 31, 2025 | 118.17 Mn |
| Sep 30, 2025 | 205.47 Mn |
| Jun 30, 2025 | 205.82 Mn |
| Mar 31, 2025 | 75.08 Mn |
| Dec 31, 2024 | 191.40 Mn |
| Sep 30, 2024 | 127.35 Mn |
| Jun 30, 2024 | -6.91 Mn |
| Mar 31, 2024 | 92.04 Mn |
| Dec 31, 2023 | 24.43 Mn |
| Sep 30, 2023 | 6.56 Mn |
| Jun 30, 2023 | 77.86 Mn |
| Mar 31, 2023 | 179.48 Mn |
| Dec 31, 2022 | 218.06 Mn |
| Sep 30, 2022 | 132.24 Mn |
| Jun 30, 2022 | 160.37 Mn |
| Mar 31, 2022 | 158.39 Mn |
| Dec 31, 2021 | 39.05 Mn |
| Sep 30, 2021 | -63,000.00 |
API Access
O Reilly Automotive Change in Inventory 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-inventory&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();