Linkhome Holdings (LHAI) Other Accumulated Expenses (2023 - 2026)
Linkhome Holdings' Other Accumulated Expenses came in at $434,345 for Q2 2026, down 47.0% from $819,099 a year earlier but up 30.7% from the prior quarter.
Linkhome Holdings (LHAI) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Linkhome Holdings' Other Accumulated Expenses was $1.87 million, up 125.3% from FY2024.
- Going back by year, Other Accumulated Expenses was $830,065 in FY2024 and $9,490 in FY2023.
- The five-year range for quarterly Other Accumulated Expenses is $9,490 (Q4 2023) to $1.87 million (Q4 2025).
- Year-over-year, Other Accumulated Expenses increased in three of the last five quarters, with growth averaging 10.8%.
- Business Quant data shows LHAI's Other Accumulated Expenses at $332,272 (Q1 2026), $1.87 million (Q4 2025) and $890,235 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn |
| 10 | Linkhome Holdings | 17.19 Mn | -2.32 Mn | 158,719.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 434,345.00 |
| Mar 31, 2026 | 332,272.00 |
| Dec 31, 2025 | 1.87 Mn |
| Sep 30, 2025 | 890,235.00 |
| Jun 30, 2025 | 819,099.00 |
| Mar 31, 2025 | 839,224.00 |
| Dec 31, 2024 | 830,065.00 |
| Sep 30, 2024 | 659,895.00 |
| Mar 31, 2024 | 830,065.00 |
| Dec 31, 2023 | 9,490.00 |
Linkhome Holdings Other 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=other-accumulated-expenses&ticker=LHAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LHAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LHAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();