La Rosa Holdings (LRHC) Price to Sales (2023 - 2026)
La Rosa Holdings' (LRHC) Price to Sales came in at 0.00 for Q2 2026, down 77.4% from 0.02 a year earlier but up 32.6% from the prior quarter.
Analysis
La Rosa Holdings (LRHC) Price to Sales (2023 - 2026) Analysis & Trends
Since Q4 2023, La Rosa Holdings has reported Price to Sales for 11 quarters.
- In prior years, La Rosa Holdings' Price to Sales was 3.88 in FY2024 (-15.6%) and 4.59 in FY2023.
- Quarterly Price to Sales has run from a low of 0.00 in Q4 2025 to a high of 9.41 in Q2 2024 over five years.
- On a year-over-year basis, Price to Sales has declined in each of the last seven quarters, with an average decline of 83.5% over the last seven quarters.
- According to Business Quant data, Price to Sales for the three prior quarters was 0.00 (Q1 2026), 0.00 (Q4 2025) and 0.02 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 38.81 Bn | 11.63 Bn | 1.03 Bn |
| 2 | Cbre | 37.85 Bn | 31.61 Bn | 2.13 Bn |
| 3 | Jones Lang Lasalle | 14.38 Bn | 12.59 Bn | - |
| 4 | Compass | 7.52 Bn | 5.98 Bn | - |
| 5 | Colliers International | 4.93 Bn | 4.00 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.84 Bn | 315.79 Mn | 512.00 Mn |
| 7 | Newmark | 1.88 Bn | 1.26 Bn | - |
| 8 | Marcus & Millichap | 1.07 Bn | 169.44 Mn | - |
| 9 | Agnt | 696.88 Mn | 226.56 Mn | 98.80 Mn |
| 10 | La Rosa Holdings | 108,902.76 | -12.74 Mn | 1.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.00 |
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.02 |
| Jun 30, 2025 | 0.02 |
| Mar 31, 2025 | 0.63 |
| Dec 31, 2024 | 3.88 |
| Sep 30, 2024 | 2.90 |
| Jun 30, 2024 | 9.41 |
| Mar 31, 2024 | 8.68 |
| Dec 31, 2023 | 4.59 |
API Access
La Rosa Holdings Price to Sales 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=price-to-sales&ticker=LRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();