Lkq (LKQ) Shares Outstanding (Diluted) (2009 - 2026)
Lkq (LKQ) reported Shares Outstanding (Diluted) of 254.7 million for Q2 2026, down 1.4% from 258.3 million a year earlier and down 0.5% from the prior quarter.
Lkq (LKQ) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Lkq posted Shares Outstanding (Diluted) of 257.8 million, down 2.3% from FY2024.
- Shares Outstanding (Diluted) has declined for seven consecutive years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 263.9 million in FY2024 (-1.6%), 268.3 million in FY2023 (-3.5%), 278 million in FY2022 (-6.6%) and 297.72 million in FY2021 (-2.4%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 29 quarters, with an average decline of 2.1% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Diluted) has ranged between 0.2% (Q1 2024) and 6.9% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 255.9 million (Q1 2026), 257.8 million (Q4 2025) and 257.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Lkq | 5.77 Bn | 4.55 Bn | 1.32 Bn | 254.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 254.70 Mn |
| Mar 31, 2026 | 255.90 Mn |
| Dec 31, 2025 | 257.80 Mn |
| Sep 30, 2025 | 257.30 Mn |
| Jun 30, 2025 | 258.30 Mn |
| Mar 31, 2025 | 259.60 Mn |
| Dec 31, 2024 | 263.90 Mn |
| Sep 30, 2024 | 262.60 Mn |
| Jun 30, 2024 | 265.60 Mn |
| Mar 31, 2024 | 267.70 Mn |
| Dec 31, 2023 | 268.30 Mn |
| Sep 30, 2023 | 268.40 Mn |
| Jun 30, 2023 | 268.20 Mn |
| Mar 31, 2023 | 268.30 Mn |
| Dec 31, 2022 | 278.00 Mn |
| Sep 30, 2022 | 274.60 Mn |
| Jun 30, 2022 | 282.30 Mn |
| Mar 31, 2022 | 286.80 Mn |
| Dec 31, 2021 | 297.72 Mn |
| Sep 30, 2021 | 294.89 Mn |
Lkq Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=LKQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LKQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();