LGI Homes (LGIH) Consolidated Net Income (2012 - 2026)
LGI Homes (LGIH) recorded Consolidated Net Income of $26.98 million in Q2 2026, down 14.4% from $31.53 million a year earlier.
LGI Homes (LGIH) Consolidated Net Income (2012 - 2026) Analysis & Trends
On a TTM basis, LGI Homes' Consolidated Net Income came in at $66.17 million as of Jun 30, 2026, down 57.6% year-over-year; for FY2025, it was $72.55 million, down 63.0% from FY2024.
- Annual Consolidated Net Income has declined for four straight years, with a five-year compound annual growth rate of -25.9% (FY2020 to FY2025).
- Across earlier years, Consolidated Net Income came in at $196.07 million in FY2024 (-1.6%), $199.23 million in FY2023 (-39.0%), $326.57 million in FY2022 (-24.0%) and $429.65 million in FY2021 (+32.6%).
- Quarterly Consolidated Net Income has ranged from $2.16 million in Q1 2026 to $123.38 million in Q2 2022 over the past five years.
- On a year-over-year basis, Consolidated Net Income has declined for seven consecutive quarters, with an average decline of 39.9% over the last eight quarters.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 52.7% in Q4 2023, against a decline of 76.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.16 million (Q1 2026), $17.32 million (Q4 2025) and $19.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 918.70 Mn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 524.79 Mn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | 285.49 Mn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 245.24 Mn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 264.51 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 100.43 Mn |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | - |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | - |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 90.63 Mn |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn | 26.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.98 Mn |
| Mar 31, 2026 | 2.16 Mn |
| Dec 31, 2025 | 17.32 Mn |
| Sep 30, 2025 | 19.70 Mn |
| Jun 30, 2025 | 31.53 Mn |
| Mar 31, 2025 | 3.99 Mn |
| Dec 31, 2024 | 50.87 Mn |
| Sep 30, 2024 | 69.58 Mn |
| Jun 30, 2024 | 58.57 Mn |
| Mar 31, 2024 | 17.05 Mn |
| Dec 31, 2023 | 52.09 Mn |
| Sep 30, 2023 | 67.04 Mn |
| Jun 30, 2023 | 53.13 Mn |
| Mar 31, 2023 | 26.96 Mn |
| Dec 31, 2022 | 34.12 Mn |
| Sep 30, 2022 | 90.39 Mn |
| Jun 30, 2022 | 123.38 Mn |
| Mar 31, 2022 | 78.69 Mn |
| Dec 31, 2021 | 111.30 Mn |
| Sep 30, 2021 | 100.55 Mn |
LGI Homes Consolidated Net Income 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=consolidated-net-income&ticker=LGIH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();