LGI Homes (LGIH) EBITDA (2012 - 2026)
LGI Homes (LGIH) recorded EBITDA of $74.46 million in Q2 2026, up 83.3% from $40.62 million a year earlier.
LGI Homes (LGIH) EBITDA (2012 - 2026) Analysis & Trends
On a TTM basis, LGI Homes' EBITDA came in at $117.51 million as of Jun 30, 2026, down 30.6% year-over-year; for FY2025, it was $84.1 million, down 60.9% from FY2024.
- Annual EBITDA has declined for four straight years, with a five-year compound annual growth rate of -25.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $215.25 million in FY2024 (-8.7%), $235.66 million in FY2023 (-39.8%), $391.68 million in FY2022 (-28.6%) and $548.85 million in FY2021 (+50.2%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q3 2024.
- On a year-over-year basis, EBITDA rose in 1 of the last eight quarters, with an average decline of 31.0%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 83.3% in Q2 2026, against a decline of 94.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $608,000 (Q1 2026), $19.78 million (Q4 2025) and $22.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 1.18 Bn |
| 2 | Pultegroup | 22.22 Bn | 15.51 Bn | 1.06 Bn | 700.63 Mn |
| 3 | Lennar | 17.48 Bn | 6.90 Bn | 807.31 Mn | -6.70 Bn |
| 4 | Nvr | 16.60 Bn | 9.88 Bn | 485.14 Mn | 340.85 Mn |
| 5 | Toll Brothers | 12.52 Bn | 7.91 Bn | 625.22 Mn | 380.08 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 242.40 Mn |
| 7 | Champion Homes | 4.79 Bn | 2.27 Bn | - | - |
| 8 | Cavco Industries | 4.30 Bn | 3.05 Bn | - | - |
| 9 | Meritage Homes | 4.17 Bn | 1.09 Bn | 513.60 Mn | 467.30 Mn |
| 10 | LGI Homes | 1.11 Bn | 867.96 Mn | 101.70 Mn | 74.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.46 Mn |
| Mar 31, 2026 | 608,000.00 |
| Dec 31, 2025 | 19.78 Mn |
| Sep 30, 2025 | 22.66 Mn |
| Jun 30, 2025 | 40.62 Mn |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 46.42 Mn |
| Sep 30, 2024 | 81.14 Mn |
| Jun 30, 2024 | 68.30 Mn |
| Mar 31, 2024 | 19.41 Mn |
| Dec 31, 2023 | 60.47 Mn |
| Sep 30, 2023 | 83.07 Mn |
| Jun 30, 2023 | 65.59 Mn |
| Mar 31, 2023 | 26.53 Mn |
| Dec 31, 2022 | 41.25 Mn |
| Sep 30, 2022 | 94.98 Mn |
| Jun 30, 2022 | 159.39 Mn |
| Mar 31, 2022 | 96.07 Mn |
| Dec 31, 2021 | 141.63 Mn |
| Sep 30, 2021 | 138.23 Mn |
LGI Homes EBITDA 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=ebitda&ticker=LGIH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();