Lithia Motors (LAD) Shares Outstanding (2010 - 2026)
Lithia Motors (LAD) posted Weighted Average Shares Outstanding of 22.5 million for Q3 2026, down 10.7% from 25.2 million a year earlier and unchanged from the prior quarter.
Lithia Motors (LAD) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Lithia Motors' Weighted Average Shares Outstanding came in at 25.3 million, down 6.3% from FY2024.
- Annual Weighted Average Shares Outstanding has declined for four consecutive years, though with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In prior years, Lithia Motors' Weighted Average Shares Outstanding was 27 million in FY2024 (-1.8%), 27.5 million in FY2023 (-2.5%), 28.2 million in FY2022 (-2.1%) and 28.8 million in FY2021 (+21.0%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 22.5 million in Q2 2026 to a high of 29.5 million in Q1 2022 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last ten quarters, with an average decline of 7.2% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q4 2021, with growth of 21.0%; the weakest was Q2 2026, with a decline of 13.1%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 22.5 million (Q2 2026), 23.4 million (Q1 2026) and 25.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 10.80 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 559.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 825.20 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 317.69 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 454.40 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 720.86 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 16.48 Mn |
| 10 | Lithia Motors | 6.78 Bn | 5.28 Bn | 1.50 Bn | 21.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.90 Mn |
| Jun 30, 2026 | 22.50 Mn |
| Mar 31, 2026 | 23.40 Mn |
| Dec 31, 2025 | 25.30 Mn |
| Sep 30, 2025 | 25.20 Mn |
| Jun 30, 2025 | 25.90 Mn |
| Mar 31, 2025 | 26.30 Mn |
| Dec 31, 2024 | 27.00 Mn |
| Sep 30, 2024 | 26.70 Mn |
| Jun 30, 2024 | 27.20 Mn |
| Mar 31, 2024 | 27.50 Mn |
| Dec 31, 2023 | 27.50 Mn |
| Sep 30, 2023 | 27.60 Mn |
| Jun 30, 2023 | 27.50 Mn |
| Mar 31, 2023 | 27.50 Mn |
| Dec 31, 2022 | 28.20 Mn |
| Sep 30, 2022 | 27.50 Mn |
| Jun 30, 2022 | 28.40 Mn |
| Mar 31, 2022 | 29.50 Mn |
| Dec 31, 2021 | 28.80 Mn |
Lithia Motors Shares Outstanding 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&ticker=LAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "LAD", "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&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();