LGI Homes (LGIH) Shares Outstanding (Diluted) (2013 - 2026)
LGI Homes (LGIH) recorded Shares Outstanding (Diluted) of 23.28 million in Q2 2026, up 0.1% from 23.27 million a year earlier and up 0.3% from the prior quarter.
LGI Homes (LGIH) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, LGI Homes reported Shares Outstanding (Diluted) of 23.25 million, down 1.5% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for six straight years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 23.61 million in FY2024 (-0.2%), 23.65 million in FY2023 (-0.3%), 23.73 million in FY2022 (-4.7%) and 24.91 million in FY2021 (-1.9%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q1 2025.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in 1 of the last eight quarters, with an average decline of 0.9%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.6% in Q3 2023, against a decline of 5.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 23.22 million (Q1 2026), 23.25 million (Q4 2025) and 23.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 283.00 Mn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 190.58 Mn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | 237.76 Mn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 2.82 Mn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 94.45 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 97.53 Mn |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | 56.28 Mn |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | 7.89 Mn |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 66.13 Mn |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn | 23.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.28 Mn |
| Mar 31, 2026 | 23.22 Mn |
| Dec 31, 2025 | 23.25 Mn |
| Sep 30, 2025 | 23.15 Mn |
| Jun 30, 2025 | 23.27 Mn |
| Mar 31, 2025 | 23.47 Mn |
| Dec 31, 2024 | 23.61 Mn |
| Sep 30, 2024 | 23.58 Mn |
| Jun 30, 2024 | 23.60 Mn |
| Mar 31, 2024 | 23.68 Mn |
| Dec 31, 2023 | 23.65 Mn |
| Sep 30, 2023 | 23.64 Mn |
| Jun 30, 2023 | 23.61 Mn |
| Mar 31, 2023 | 23.63 Mn |
| Dec 31, 2022 | 23.73 Mn |
| Sep 30, 2022 | 23.49 Mn |
| Jun 30, 2022 | 23.75 Mn |
| Mar 31, 2022 | 24.19 Mn |
| Dec 31, 2021 | 24.91 Mn |
| Sep 30, 2021 | 24.82 Mn |
LGI Homes 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=LGIH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LGIH", "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=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();