La Rosa Holdings (LRHC) EBT (2022 - 2026)
La Rosa Holdings (LRHC) recorded EBT of -$2.16 million in Q2 2026, compared with $78.46 million a year earlier.
Analysis
La Rosa Holdings (LRHC) EBT (2022 - 2026) Analysis & Trends
On a TTM basis, La Rosa Holdings' EBT came in at -$28.8 million as of Jun 30, 2026; for FY2025, it was -$30.41 million.
- Across earlier years, EBT came in at -$14.35 million in FY2024, -$7.82 million in FY2023 and -$2.47 million in FY2022.
- Quarterly EBT has ranged from -$95.7 million in Q1 2025 to $78.46 million in Q2 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$13.47 million (Q1 2026), -$7.63 million (Q4 2025) and -$5.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | 526.59 Mn |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | 315.00 Mn |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 265.60 Mn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 87.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 76.05 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 77.30 Mn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 33.00 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 6.27 Mn |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | 9.29 Mn |
| 10 | La Rosa Holdings | 586,221.23 | -12.26 Mn | 1.73 Mn | -2.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.16 Mn |
| Mar 31, 2026 | -13.47 Mn |
| Dec 31, 2025 | -7.63 Mn |
| Sep 30, 2025 | -5.54 Mn |
| Jun 30, 2025 | 78.46 Mn |
| Mar 31, 2025 | -95.70 Mn |
| Dec 31, 2024 | -5.03 Mn |
| Sep 30, 2024 | -2.39 Mn |
| Jun 30, 2024 | -2.27 Mn |
| Mar 31, 2024 | -4.66 Mn |
| Dec 31, 2023 | -6.09 Mn |
| Sep 30, 2023 | -343,839.00 |
| Jun 30, 2023 | -403,494.00 |
| Mar 31, 2023 | -988,951.00 |
| Dec 31, 2022 | -1.16 Mn |
| Sep 30, 2022 | -692,366.00 |
API Access
La Rosa Holdings EBT 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=ebt&ticker=LRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();