La Rosa Holdings (LRHC) Asset Utilization Ratio (2023 - 2026)
La Rosa Holdings' (LRHC) Asset Utilization Ratio stood at 2.97 in Q2 2026, down 1.8% from 3.03 a year earlier and down 24.4% from the prior quarter.
Analysis
La Rosa Holdings (LRHC) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
For FY2025, La Rosa Holdings' Asset Utilization Ratio came in at 4.17, up 19.9% from FY2024.
- Across earlier years, Asset Utilization Ratio came in at 3.48 in FY2024 (-0.3%) and 3.49 in FY2023.
- The Q2 2026 figure is the lowest quarterly Asset Utilization Ratio since Q3 2024.
- On a year-over-year basis, Asset Utilization Ratio rose in five of the last seven quarters, with growth averaging 14.6%.
- Per Business Quant, the preceding three quarters came in at 3.93 (Q1 2026), 3.90 (Q4 2025) and 3.00 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 1.44 |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 1.55 |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 1.28 |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 1.09 |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 1.42 |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 0.69 |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 1.07 |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 9.86 |
| 10 | La Rosa Holdings | 576,952.92 | -12.27 Mn | 1.73 Mn | 2.97 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.97 |
| Mar 31, 2026 | 3.93 |
| Dec 31, 2025 | 3.90 |
| Sep 30, 2025 | 3.00 |
| Jun 30, 2025 | 3.03 |
| Mar 31, 2025 | 3.10 |
| Dec 31, 2024 | 3.00 |
| Sep 30, 2024 | 2.88 |
| Jun 30, 2024 | 2.58 |
| Mar 31, 2024 | 2.38 |
| Dec 31, 2023 | 3.16 |
API Access
La Rosa Holdings Asset Utilization Ratio 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=asset-utilization-ratio&ticker=LRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "ticker": "LRHC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-utilization-ratio&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();