Legacy Housing (LEGH) Selling, General & Administrative (2018 - 2026)
Legacy Housing's Selling, General & Administrative came in at $6.91 million for Q2 2026, up 21.1% from $5.7 million a year earlier and up 18.3% from the prior quarter.
Legacy Housing (LEGH) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Legacy Housing reported Selling, General & Administrative of $29.42 million, up 28.5% year-over-year; for FY2025, it was $29.61 million, up 32.8% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $22.29 million in FY2024 (-8.2%), $24.28 million in FY2023 (-11.9%), $27.57 million in FY2022 (+18.3%) and $23.31 million in FY2021 (+22.2%).
- The five-year range for quarterly Selling, General & Administrative is $4.76 million (Q4 2024) to $9.36 million (Q4 2025).
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 13.2%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2025 (growth of 96.5%), and the weakest in Q4 2024 (a decline of 34.1%).
- Business Quant data shows LEGH's Selling, General & Administrative at $5.84 million (Q1 2026), $9.36 million (Q4 2025) and $7.32 million (Q3 2025) in the three quarters before Q2 2026.
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 | Legacy Housing | 697.99 Mn | 632.88 Mn | 32.83 Mn | 6.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.91 Mn |
| Mar 31, 2026 | 5.84 Mn |
| Dec 31, 2025 | 9.36 Mn |
| Sep 30, 2025 | 7.32 Mn |
| Jun 30, 2025 | 5.70 Mn |
| Mar 31, 2025 | 6.37 Mn |
| Dec 31, 2024 | 4.76 Mn |
| Sep 30, 2024 | 6.07 Mn |
| Jun 30, 2024 | 5.57 Mn |
| Mar 31, 2024 | 5.89 Mn |
| Dec 31, 2023 | 7.23 Mn |
| Sep 30, 2023 | 6.11 Mn |
| Jun 30, 2023 | 5.53 Mn |
| Mar 31, 2023 | 5.41 Mn |
| Dec 31, 2022 | 7.28 Mn |
| Sep 30, 2022 | 6.73 Mn |
| Jun 30, 2022 | 5.90 Mn |
| Mar 31, 2022 | 7.66 Mn |
| Dec 31, 2021 | 8.30 Mn |
| Sep 30, 2021 | 5.05 Mn |
Legacy Housing 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=LEGH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LEGH", "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=LEGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();