Linkhome Holdings (LHAI) Cost of Revenue (2023 - 2026)
Linkhome Holdings (LHAI) posted Cost of Revenue of $5.25 million for Q2 2026, up 12.0% from $4.69 million a year earlier and up 11.3% from the prior quarter.
Linkhome Holdings (LHAI) Cost of Revenue (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Linkhome Holdings was $19.87 million, up 49.3% year-over-year; for FY2024, it was $6.14 million, up 449.7% from FY2023.
- In prior years, Linkhome Holdings' Cost of Revenue was $1.12 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q1 2025.
- On a year-over-year basis, Cost of Revenue increased in five of the last six quarters, with growth averaging 151.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 2.58 Bn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 9.39 Bn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | - |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | - |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 1.00 Bn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 2.32 Bn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 376.35 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 133.45 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | - |
| 10 | Linkhome Holdings | 15.04 Mn | -4.47 Mn | 158,719.00 | 5.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.25 Mn |
| Mar 31, 2026 | 4.72 Mn |
| Dec 31, 2025 | 4.88 Mn |
| Sep 30, 2025 | 5.20 Mn |
| Jun 30, 2025 | 4.69 Mn |
| Mar 31, 2025 | 5.45 Mn |
| Dec 31, 2024 | 1.61 Mn |
| Sep 30, 2024 | 1.55 Mn |
| Jun 30, 2024 | 2.07 Mn |
| Mar 31, 2024 | 915,662.00 |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 29,000.00 |
Linkhome Holdings Cost of Revenue 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=cost-of-revenue&ticker=LHAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LHAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();