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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 9.14 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 2.58 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 | 937.39 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 2.25 Bn |
| 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 | 1.35 Bn |
| 10 | Linkhome Holdings | 17.19 Mn | -2.32 Mn | 158,719.00 | 5.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.25 Mn |
| Mar 31, 2026 | 4.72 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 |
API Access
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_KEYimport 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();