Legacy Housing (LEGH) Debt Ratio (2018 - 2026)
Legacy Housing's Debt Ratio was 0.00 in Q1 2026, down 26.5% from the prior quarter.
Analysis
Legacy Housing (LEGH) Debt Ratio (2018 - 2026) Analysis & Trends
From Q4 2018 onward, Legacy Housing has reported Debt Ratio for 26 quarters.
- In earlier years, Debt Ratio was 0.05 in FY2023 (+702.1%), 0.01 in FY2022 (-73.3%) and 0.02 in FY2021 (-79.6%).
- Quarterly Debt Ratio has moved between 0.00 (Q2 2025) and 0.13 (Q2 2021) over five years.
- The best year-over-year quarter for Debt Ratio over five years was Q4 2023 (growth of 702.1%); the worst was Q2 2025 (a decline of 98.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 41.35 Bn | 31.65 Bn | 2.15 Bn | 0.19 |
| 2 | Pultegroup | 22.63 Bn | 16.00 Bn | 1.07 Bn | 0.10 |
| 3 | Lennar | 19.96 Bn | 10.33 Bn | 618.54 Mn | 0.13 |
| 4 | Nvr | 15.50 Bn | 8.78 Bn | 485.14 Mn | 0.17 |
| 5 | Toll Brothers | 13.19 Bn | 8.56 Bn | 625.22 Mn | 0.19 |
| 6 | Champion Homes | 4.43 Bn | 1.91 Bn | - | 0.01 |
| 7 | Meritage Homes | 4.19 Bn | 1.11 Bn | 513.60 Mn | 0.24 |
| 8 | Cavco Industries | 4.14 Bn | 2.90 Bn | - | - |
| 9 | M | 3.17 Bn | 360.14 Mn | - | 0.05 |
| 10 | Legacy Housing | 674.45 Mn | 609.34 Mn | 32.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.02 |
| Mar 31, 2024 | 0.02 |
| Dec 31, 2023 | 0.05 |
| Sep 30, 2023 | 0.03 |
| Jun 30, 2023 | 0.02 |
| Mar 31, 2023 | 0.03 |
| Dec 31, 2022 | 0.01 |
| Jun 30, 2022 | 0.03 |
| Mar 31, 2022 | 0.01 |
| Dec 31, 2021 | 0.02 |
| Sep 30, 2021 | 0.02 |
| Jun 30, 2021 | 0.13 |
| Mar 31, 2021 | 0.13 |
| Dec 31, 2020 | 0.11 |
| Sep 30, 2020 | 0.13 |
| Jun 30, 2020 | 0.12 |
API Access
Legacy Housing Debt Ratio 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=debt-ratio&ticker=LEGH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=LEGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();