Linkhome Holdings (LHAI) EBITDA Margin (2023 - 2026)
Linkhome Holdings' EBITDA Margin came in at -2.77% for Q2 2026, down 3.15 percentage points from 0.38% a year earlier but up 0.63 percentage points from the prior quarter.
Linkhome Holdings (LHAI) EBITDA Margin (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Linkhome Holdings reported EBITDA Margin of -1.36%, down 7.56 percentage points year-over-year; for FY2024, it was 14.55%, up 2.51 percentage points from FY2023.
- Going back by year, EBITDA Margin was 12.04% in FY2023.
- The five-year range for quarterly EBITDA Margin is -3.41% (Q1 2026) to 173.09% (Q3 2024).
- Year-over-year, EBITDA Margin increased in 1 of the last seven quarters, with an average year-over-year change of -9.88 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 5.39% |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 5.82% |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 6.43% |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.61% |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.89% |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 14.03% |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 2.25% |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 0.27% |
| 10 | Linkhome Holdings | 16.70 Mn | -2.82 Mn | 158,719.00 | -2.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.77% |
| Mar 31, 2026 | -3.41% |
| Sep 30, 2025 | 0.37% |
| Jun 30, 2025 | 0.38% |
| Mar 31, 2025 | 2.25% |
| Dec 31, 2024 | 7.82% |
| Sep 30, 2024 | 173.09% |
| Jun 30, 2024 | 3.35% |
| Mar 31, 2024 | 6.78% |
| Dec 31, 2023 | 8.02% |
| Sep 30, 2023 | 53.00% |
Linkhome Holdings EBITDA Margin 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-margin&ticker=LHAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=LHAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();