LGI Homes (LGIH) Accumulated Expenses (2012 - 2026)
LGI Homes (LGIH) posted Accumulated Expenses of $146.28 million for Q2 2026, down 9.7% from $162.06 million a year earlier and down 8.4% from the prior quarter.
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Analysis
LGI Homes (LGIH) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, LGI Homes' Accumulated Expenses came in at $157.97 million, down 23.8% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, LGI Homes' Accumulated Expenses was $207.32 million in FY2024 (-23.7%), $271.87 million in FY2023 (-20.1%), $340.13 million in FY2022 (+149.0%) and $136.61 million in FY2021 (+1.2%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q1 2022.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last 11 quarters, with an average decline of 19.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 149.0%; the weakest was Q1 2024, with a decline of 34.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $159.73 million (Q1 2026), $157.97 million (Q4 2025) and $171.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn |
| 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 |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 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 |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.28 Mn |
| Mar 31, 2026 | 159.73 Mn |
| Dec 31, 2025 | 157.97 Mn |
| Sep 30, 2025 | 171.09 Mn |
| Jun 30, 2025 | 162.06 Mn |
| Mar 31, 2025 | 169.67 Mn |
| Dec 31, 2024 | 207.32 Mn |
| Sep 30, 2024 | 229.10 Mn |
| Jun 30, 2024 | 209.98 Mn |
| Mar 31, 2024 | 224.31 Mn |
| Dec 31, 2023 | 271.87 Mn |
| Sep 30, 2023 | 274.68 Mn |
| Jun 30, 2023 | 295.77 Mn |
| Mar 31, 2023 | 340.92 Mn |
| Dec 31, 2022 | 340.13 Mn |
| Sep 30, 2022 | 220.48 Mn |
| Jun 30, 2022 | 163.81 Mn |
| Mar 31, 2022 | 145.92 Mn |
| Dec 31, 2021 | 136.61 Mn |
| Sep 30, 2021 | 116.23 Mn |
API Access
LGI Homes Accumulated Expenses 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=accumulated-expenses&ticker=LGIH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();