O Reilly Automotive (ORLY) Inventory (2009 - 2026)
O Reilly Automotive (ORLY) posted Inventory of $5.97 billion for Q2 2026, up 10.6% from $5.4 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive's Inventory came in at $5.73 billion, up 12.5% from FY2024.
- Annual Inventory has increased for 14 consecutive years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's Inventory was $5.1 billion in FY2024 (+9.4%), $4.66 billion in FY2023 (+6.9%), $4.36 billion in FY2022 (+18.2%) and $3.69 billion in FY2021 (+0.9%).
- The Q2 2026 figure stands as the highest quarterly Inventory in data going back to Q4 2009.
- On a year-over-year basis, Inventory has increased in each of the last 20 quarters, with growth averaging 10.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Inventory ran from 0.9% in Q4 2021 to 18.2% in Q4 2022.
- According to Business Quant data, Inventory for the three prior quarters was $5.81 billion (Q1 2026), $5.73 billion (Q4 2025) and $5.61 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 16.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.97 Bn |
| Mar 31, 2026 | 5.81 Bn |
| Dec 31, 2025 | 5.73 Bn |
| Sep 30, 2025 | 5.61 Bn |
| Jun 30, 2025 | 5.40 Bn |
| Mar 31, 2025 | 5.17 Bn |
| Dec 31, 2024 | 5.10 Bn |
| Sep 30, 2024 | 4.91 Bn |
| Jun 30, 2024 | 4.79 Bn |
| Mar 31, 2024 | 4.81 Bn |
| Dec 31, 2023 | 4.66 Bn |
| Sep 30, 2023 | 4.63 Bn |
| Jun 30, 2023 | 4.63 Bn |
| Mar 31, 2023 | 4.54 Bn |
| Dec 31, 2022 | 4.36 Bn |
| Sep 30, 2022 | 4.14 Bn |
| Jun 30, 2022 | 4.01 Bn |
| Mar 31, 2022 | 3.85 Bn |
| Dec 31, 2021 | 3.69 Bn |
| Sep 30, 2021 | 3.65 Bn |
API Access
O Reilly Automotive 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=inventory&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();