LGI Homes (LGIH) Property, Plant & Equipment (Net) (2012 - 2026)
LGI Homes' Property, Plant & Equipment (Net) came in at $149.58 million for Q2 2026, up 59.5% from $93.8 million a year earlier and up 19.9% from the prior quarter.
LGI Homes (LGIH) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, LGI Homes' Property, Plant & Equipment (Net) was $107.15 million, up 87.8% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last seven years, with a five-year compound annual growth rate of 96.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $57.04 million in FY2024 (+25.3%), $45.52 million in FY2023 (+38.0%), $33 million in FY2022 (+94.7%) and $16.94 million in FY2021 (+368.3%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2012.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 28 consecutive quarters, with growth averaging 58.9% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 25.3% (Q4 2024) and 485.1% (Q3 2021) over the last five years.
- Business Quant data shows LGIH's Property, Plant & Equipment (Net) at $124.81 million (Q1 2026), $107.15 million (Q4 2025) and $101.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 607.50 Mn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | - |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | - |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 106.97 Mn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 293.65 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 268.77 Mn |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | 314.20 Mn |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | 278.89 Mn |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 46.09 Mn |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn | 149.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.58 Mn |
| Mar 31, 2026 | 124.81 Mn |
| Dec 31, 2025 | 107.15 Mn |
| Sep 30, 2025 | 101.55 Mn |
| Jun 30, 2025 | 93.80 Mn |
| Mar 31, 2025 | 67.46 Mn |
| Dec 31, 2024 | 57.04 Mn |
| Sep 30, 2024 | 62.00 Mn |
| Jun 30, 2024 | 56.35 Mn |
| Mar 31, 2024 | 49.78 Mn |
| Dec 31, 2023 | 45.52 Mn |
| Sep 30, 2023 | 41.87 Mn |
| Jun 30, 2023 | 37.79 Mn |
| Mar 31, 2023 | 35.27 Mn |
| Dec 31, 2022 | 33.00 Mn |
| Sep 30, 2022 | 26.05 Mn |
| Jun 30, 2022 | 20.31 Mn |
| Mar 31, 2022 | 19.42 Mn |
| Dec 31, 2021 | 16.94 Mn |
| Sep 30, 2021 | 13.36 Mn |
LGI Homes Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LGIH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();