Legacy Housing (LEGH) Operating Expenses (2018 - 2026)
Legacy Housing (LEGH) posted Operating Expenses of $39.89 million for Q2 2026, up 19.6% from $33.34 million a year earlier and up 81.5% from the prior quarter.
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Analysis
Legacy Housing (LEGH) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Legacy Housing was $120.6 million, down 3.6% year-over-year; for FY2025, it came in at $116.16 million, down 3.7% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 43.5% (FY2020 to FY2025).
- In prior years, Legacy Housing's Operating Expenses was $120.58 million in FY2024 (-3.2%), $124.56 million in FY2023 (-30.4%), $179 million in FY2022 (+668.0%) and $23.31 million in FY2021 (+22.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2018.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 7.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 495.4%; the weakest was Q4 2025, with a decline of 27.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $21.98 million (Q1 2026), $27.97 million (Q4 2025) and $30.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 991.20 Mn |
| 2 | Pultegroup | 22.22 Bn | 15.51 Bn | 1.06 Bn | 382.97 Mn |
| 3 | Lennar | 17.48 Bn | 6.90 Bn | 807.31 Mn | 7.54 Bn |
| 4 | Nvr | 16.60 Bn | 9.88 Bn | 485.14 Mn | 150.72 Mn |
| 5 | Toll Brothers | 12.52 Bn | 7.91 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 | 4.79 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 | 52.38 Mn |
| 10 | Legacy Housing | 688.24 Mn | 623.13 Mn | 32.83 Mn | 39.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.89 Mn |
| Mar 31, 2026 | 21.98 Mn |
| Dec 31, 2025 | 27.97 Mn |
| Sep 30, 2025 | 30.77 Mn |
| Jun 30, 2025 | 33.34 Mn |
| Mar 31, 2025 | 24.08 Mn |
| Dec 31, 2024 | 38.68 Mn |
| Sep 30, 2024 | 28.94 Mn |
| Jun 30, 2024 | 26.47 Mn |
| Mar 31, 2024 | 26.49 Mn |
| Dec 31, 2023 | 23.99 Mn |
| Sep 30, 2023 | 30.92 Mn |
| Jun 30, 2023 | 35.14 Mn |
| Mar 31, 2023 | 34.50 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 |
API Access
Legacy Housing Operating 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=operating-expenses&ticker=LEGH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LEGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();