Legacy Housing (LEGH) Inventory (2018 - 2026)
Legacy Housing (LEGH) posted Inventory of $43.94 million for Q2 2026, up 8.4% from $40.52 million a year earlier but down 12.8% from the prior quarter.
Legacy Housing (LEGH) Inventory (2018 - 2026) Analysis & Trends
At the end of FY2025, Legacy Housing's Inventory came in at $39.85 million, up 6.2% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, Legacy Housing's Inventory was $37.54 million in FY2024 (-8.4%), $40.97 million in FY2023 (+27.7%), $32.08 million in FY2022 (-23.6%) and $42 million in FY2021 (+54.3%).
- Quarterly Inventory has run from a low of $29.22 million in Q3 2024 to a high of $50.38 million in Q1 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last six quarters, with growth averaging 12.2% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2021, with growth of 54.3%; the weakest was Q1 2023, with a decline of 31.9%.
- According to Business Quant data, Inventory for the three prior quarters was $50.38 million (Q1 2026), $39.85 million (Q4 2025) and $39.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | 26.69 Bn |
| 2 | Pultegroup | 22.22 Bn | 15.51 Bn | 1.06 Bn | 13.72 Bn |
| 3 | Lennar | 17.48 Bn | 6.90 Bn | 807.31 Mn | 12.58 Bn |
| 4 | Nvr | 16.60 Bn | 9.88 Bn | 485.14 Mn | - |
| 5 | Toll Brothers | 12.52 Bn | 7.91 Bn | 625.22 Mn | 11.65 Bn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 6.24 Bn |
| 7 | Champion Homes | 4.79 Bn | 2.27 Bn | - | 358.31 Mn |
| 8 | Cavco Industries | 4.30 Bn | 3.05 Bn | - | 295.67 Mn |
| 9 | Meritage Homes | 4.17 Bn | 1.09 Bn | 513.60 Mn | 5.89 Bn |
| 10 | Legacy Housing | 688.24 Mn | 623.13 Mn | 32.83 Mn | 43.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.94 Mn |
| Mar 31, 2026 | 50.38 Mn |
| Dec 31, 2025 | 39.85 Mn |
| Sep 30, 2025 | 39.58 Mn |
| Jun 30, 2025 | 40.52 Mn |
| Mar 31, 2025 | 41.40 Mn |
| Dec 31, 2024 | 37.54 Mn |
| Sep 30, 2024 | 29.22 Mn |
| Jun 30, 2024 | 31.00 Mn |
| Mar 31, 2024 | 34.25 Mn |
| Dec 31, 2023 | 40.97 Mn |
| Sep 30, 2023 | 35.36 Mn |
| Jun 30, 2023 | 33.74 Mn |
| Mar 31, 2023 | 32.53 Mn |
| Dec 31, 2022 | 32.08 Mn |
| Sep 30, 2022 | 48.51 Mn |
| Jun 30, 2022 | 46.77 Mn |
| Mar 31, 2022 | 47.78 Mn |
| Dec 31, 2021 | 42.00 Mn |
| Sep 30, 2021 | 36.95 Mn |
Legacy Housing Inventory 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=inventory&ticker=LEGH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LEGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();