LGI Homes (LGIH) Selling, General & Administrative (2012 - 2026)
LGI Homes' Selling, General & Administrative came in at $28.57 million for Q2 2026, down 2.8% from $29.4 million a year earlier but up 2.5% from the prior quarter.
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Analysis
LGI Homes (LGIH) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LGI Homes reported Selling, General & Administrative of $107.45 million, down 10.3% year-over-year; for FY2025, it was $111.62 million, down 7.9% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $121.19 million in FY2024 (+3.3%), $117.35 million in FY2023 (+5.2%), $111.57 million in FY2022 (+11.2%) and $100.33 million in FY2021 (+11.5%).
- The five-year range for quarterly Selling, General & Administrative is $23.05 million (Q4 2025) to $33.02 million (Q4 2023).
- Year-over-year, Selling, General & Administrative has declined for seven consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2022 (growth of 25.0%), and the weakest in Q4 2025 (a decline of 26.0%).
- Business Quant data shows LGIH's Selling, General & Administrative at $27.86 million (Q1 2026), $23.05 million (Q4 2025) and $27.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | 137.88 Mn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 266.07 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 58.97 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 | 52.38 Mn |
| 10 | LGI Homes | 1.12 Bn | 874.00 Mn | 101.70 Mn | 28.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.57 Mn |
| Mar 31, 2026 | 27.86 Mn |
| Dec 31, 2025 | 23.05 Mn |
| Sep 30, 2025 | 27.97 Mn |
| Jun 30, 2025 | 29.40 Mn |
| Mar 31, 2025 | 31.20 Mn |
| Dec 31, 2024 | 31.17 Mn |
| Sep 30, 2024 | 27.99 Mn |
| Jun 30, 2024 | 30.49 Mn |
| Mar 31, 2024 | 31.54 Mn |
| Dec 31, 2023 | 33.02 Mn |
| Sep 30, 2023 | 26.75 Mn |
| Jun 30, 2023 | 27.63 Mn |
| Mar 31, 2023 | 29.96 Mn |
| Dec 31, 2022 | 26.91 Mn |
| Sep 30, 2022 | 27.28 Mn |
| Jun 30, 2022 | 29.08 Mn |
| Mar 31, 2022 | 28.29 Mn |
| Dec 31, 2021 | 27.85 Mn |
| Sep 30, 2021 | 24.48 Mn |
API Access
LGI Homes Selling, General & Administrative 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=selling-general-and-administrative&ticker=LGIH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LGIH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();