Linkhome Holdings (LHAI) Return on Sales [ROS] (2023 - 2026)
Linkhome Holdings' Return on Sales [ROS] was -3.65% in Q2 2026, down 3.92 percentage points from 0.28% a year earlier but up 0.72 percentage points from the prior quarter.
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Analysis
Linkhome Holdings (LHAI) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Linkhome Holdings' Return on Sales [ROS] was -1.89% through Jun 30, 2026, down 7.99 percentage points year-over-year; for FY2024, it was 14.31%, up 2.71 percentage points from FY2023.
- In earlier years, Return on Sales [ROS] was 11.60% in FY2023.
- Quarterly Return on Sales [ROS] has moved between -4.37% (Q1 2026) and 171.09% (Q3 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last seven quarters, with an average year-over-year change of -9.84 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 12.33% |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 4.87% |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 5.37% |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 2.23% |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 6.15% |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 4.63% |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 8.75% |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | -0.43% |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | -6.04% |
| 10 | Linkhome Holdings | 15.04 Mn | -4.47 Mn | 158,719.00 | -3.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.65% |
| Mar 31, 2026 | -4.37% |
| Dec 31, 2025 | -1.35% |
| Sep 30, 2025 | 0.17% |
| Jun 30, 2025 | 0.28% |
| Mar 31, 2025 | 2.17% |
| Dec 31, 2024 | 7.75% |
| Sep 30, 2024 | 171.09% |
| Jun 30, 2024 | 3.14% |
| Mar 31, 2024 | 6.38% |
| Dec 31, 2023 | 7.64% |
| Sep 30, 2023 | 51.63% |
API Access
Linkhome Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LHAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LHAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();