Lead Real Estate (LRE) Accumulated Expenses (2022 - 2025)
Lead Real Estate (LRE) recorded Accumulated Expenses of $1.66 million in the quarter ended Dec 31, 2025, up 30.6% from $1.27 million a year earlier.
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Analysis
Lead Real Estate (LRE) Accumulated Expenses (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, Lead Real Estate reported Accumulated Expenses of $5.29 million, up 120.6% from the prior year.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 30.8% (years ended Jun 2022 to Jun 2025).
- Across earlier years, Accumulated Expenses came in at $2.4 million in the year ended Jun 30, 2024 (-7.5%), $2.59 million in the year ended Jun 30, 2023 (+9.7%) and $2.36 million in the year ended Jun 30, 2022.
- Quarterly Accumulated Expenses has ranged from $406,692 in the quarter ended Dec 31, 2023 to $5.29 million in the quarter ended Jun 30, 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in three of the last four quarters, with growth averaging 90.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Horton D R | 38.47 Bn | 29.36 Bn | 2.15 Bn |
| 2 | Pultegroup | 21.81 Bn | 15.10 Bn | 1.06 Bn |
| 3 | Lennar | 17.29 Bn | 6.72 Bn | 807.31 Mn |
| 4 | Nvr | 16.35 Bn | 9.63 Bn | 485.14 Mn |
| 5 | Toll Brothers | 12.57 Bn | 7.95 Bn | 625.22 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn |
| 7 | Champion Homes | 4.84 Bn | 2.32 Bn | - |
| 8 | Cavco Industries | 4.47 Bn | 3.22 Bn | - |
| 9 | Meritage Homes | 4.20 Bn | 1.12 Bn | 513.60 Mn |
| 10 | Lead Real Estate | 15.42 Mn | -20.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.66 Mn |
| Jun 30, 2025 | 5.29 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Jun 30, 2024 | 2.29 Mn |
| Dec 31, 2023 | 406,691.96 |
| Jun 30, 2023 | 2.59 Mn |
| Jun 30, 2022 | 2.36 Mn |
API Access
Lead Real Estate Accumulated 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=accumulated-expenses&ticker=LRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();