La Rosa Holdings (LRHC) EBITDA (2024 - 2026)
La Rosa Holdings (LRHC) posted EBITDA of -$1.57 million for Q2 2026, compared with -$2.27 million a year earlier.
La Rosa Holdings (LRHC) EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at La Rosa Holdings was -$16.89 million; for FY2025, it came in at -$19.65 million.
- In prior years, La Rosa Holdings' EBITDA was -$10.18 million in FY2024 and -$7.02 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q3 2024.
- According to Business Quant data, EBITDA for the three prior quarters was -$2.39 million (Q1 2026), -$8.11 million (Q4 2025) and -$4.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.36 Bn | 32.67 Bn | 2.09 Bn | 605.00 Mn |
| 2 | KE Holdings | 19.22 Bn | -7.96 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.13 Bn | 12.21 Bn | - | 402.90 Mn |
| 4 | Compass | 7.35 Bn | 5.81 Bn | - | 277.00 Mn |
| 5 | Colliers International | 4.71 Bn | 3.79 Bn | 635.11 Mn | 170.17 Mn |
| 6 | Cushman & Wakefield | 2.71 Bn | 188.79 Mn | 512.00 Mn | 164.10 Mn |
| 7 | Newmark | 2.05 Bn | 1.13 Bn | - | 124.65 Mn |
| 8 | Marcus & Millichap | 1.07 Bn | 162.71 Mn | - | 4.56 Mn |
| 9 | Agnt | 658.83 Mn | 188.51 Mn | 98.80 Mn | 3.89 Mn |
| 10 | La Rosa Holdings | 148,293.12 | -12.70 Mn | 1.73 Mn | -1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.57 Mn |
| Mar 31, 2026 | -2.39 Mn |
| Dec 31, 2025 | -8.11 Mn |
| Sep 30, 2025 | -4.82 Mn |
| Jun 30, 2025 | -2.27 Mn |
| Mar 31, 2025 | -4.37 Mn |
| Dec 31, 2024 | -2.54 Mn |
| Sep 30, 2024 | -1.33 Mn |
| Jun 30, 2024 | -1.41 Mn |
| Mar 31, 2024 | -4.25 Mn |
La Rosa Holdings EBITDA 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=ebitda&ticker=LRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();