Linkhome Holdings (LHAI) Operating Expenses (2023 - 2026)
Linkhome Holdings (LHAI) recorded Operating Expenses of $356,026 in Q2 2026, up 269.8% from $96,268 a year earlier but down 11.1% from the prior quarter.
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Analysis
Linkhome Holdings (LHAI) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, Linkhome Holdings' Operating Expenses came in at $1.05 million as of Jun 30, 2026, up 180.0% year-over-year; for FY2024, it came in at $380,961, up 308.6% from FY2023.
- Across earlier years, Operating Expenses came in at $93,237 in FY2023.
- Quarterly Operating Expenses has ranged from $20,560 in Q3 2023 to $400,328 in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last seven quarters, with growth averaging 129.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.36 Bn | 32.67 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 19.22 Bn | -7.96 Bn | 1.03 Bn | -587.69 Mn |
| 3 | Jones Lang Lasalle | 14.13 Bn | 12.21 Bn | - | 6.64 Bn |
| 4 | Compass | 7.35 Bn | 5.81 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.71 Bn | 3.79 Bn | 635.11 Mn | 485.10 Mn |
| 6 | Cushman & Wakefield | 2.71 Bn | 188.79 Mn | 512.00 Mn | 2.63 Bn |
| 7 | Newmark | 2.05 Bn | 1.13 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.07 Bn | 162.71 Mn | - | 200.70 Mn |
| 9 | Agnt | 658.83 Mn | 188.51 Mn | 98.80 Mn | 97.16 Mn |
| 10 | Linkhome Holdings | 13.56 Mn | -5.96 Mn | 158,719.00 | 356,026.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356,026.00 |
| Mar 31, 2026 | 400,328.00 |
| Sep 30, 2025 | 196,673.00 |
| Jun 30, 2025 | 96,268.00 |
| Mar 31, 2025 | 138,095.00 |
| Dec 31, 2024 | 37,598.00 |
| Sep 30, 2024 | 102,761.00 |
| Jun 30, 2024 | 85,269.00 |
| Mar 31, 2024 | 155,333.00 |
| Dec 31, 2023 | 69,266.00 |
| Sep 30, 2023 | 20,560.00 |
API Access
Linkhome Holdings Operating 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=operating-expenses&ticker=LHAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LHAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();