Legacy Housing (LEGH) EBITDA (2018 - 2026)
Legacy Housing (LEGH) posted EBITDA of $27.14 million for Q2 2026, up 57.3% from $17.25 million a year earlier and up 107.8% from the prior quarter.
Legacy Housing (LEGH) EBITDA (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Legacy Housing was $61.2 million, up 0.2% year-over-year; for FY2025, it came in at $50.26 million, down 23.3% from FY2024.
- Annual EBITDA has declined for three consecutive years, though with a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Legacy Housing's EBITDA was $65.52 million in FY2024 (-1.2%), $66.31 million in FY2023 (-17.1%), $79.95 million in FY2022 (+32.1%) and $60.5 million in FY2021 (+24.0%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2018.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with growth averaging 1.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2024, with growth of 57.5%; the weakest was Q4 2023, with a decline of 55.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $13.06 million (Q1 2026), $10.87 million (Q4 2025) and $10.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 1.18 Bn |
| 2 | Pultegroup | 22.22 Bn | 15.51 Bn | 1.06 Bn | 700.63 Mn |
| 3 | Lennar | 17.48 Bn | 6.90 Bn | 807.31 Mn | -6.70 Bn |
| 4 | Nvr | 16.60 Bn | 9.88 Bn | 485.14 Mn | 340.85 Mn |
| 5 | Toll Brothers | 12.52 Bn | 7.91 Bn | 625.22 Mn | 380.08 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 242.40 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 | 467.30 Mn |
| 10 | Legacy Housing | 688.24 Mn | 623.13 Mn | 32.83 Mn | 27.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.14 Mn |
| Mar 31, 2026 | 13.06 Mn |
| Dec 31, 2025 | 10.87 Mn |
| Sep 30, 2025 | 10.13 Mn |
| Jun 30, 2025 | 17.25 Mn |
| Mar 31, 2025 | 12.01 Mn |
| Dec 31, 2024 | 16.01 Mn |
| Sep 30, 2024 | 15.83 Mn |
| Jun 30, 2024 | 16.51 Mn |
| Mar 31, 2024 | 17.17 Mn |
| Dec 31, 2023 | 10.17 Mn |
| Sep 30, 2023 | 19.44 Mn |
| Jun 30, 2023 | 17.92 Mn |
| Mar 31, 2023 | 18.78 Mn |
| Dec 31, 2022 | 22.98 Mn |
| Sep 30, 2022 | 17.37 Mn |
| Jun 30, 2022 | 20.91 Mn |
| Mar 31, 2022 | 18.70 Mn |
| Dec 31, 2021 | 16.37 Mn |
| Sep 30, 2021 | 15.73 Mn |
Legacy Housing EBITDA 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=ebitda&ticker=LEGH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LEGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();