La Rosa Holdings (LRHC) EBIT (2022 - 2026)
La Rosa Holdings (LRHC) reported EBIT of -$1.67 million for Q2 2026, compared with -$2.46 million a year earlier.
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Analysis
La Rosa Holdings (LRHC) EBIT (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, La Rosa Holdings' EBIT came in at -$17.37 million; for FY2025, it was -$20.34 million.
- By year, EBIT came in at -$11.2 million in FY2024, -$7.09 million in FY2023 and -$2.01 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly EBIT since Q3 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$2.5 million (Q1 2026), -$8.22 million (Q4 2025) and -$4.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 365.00 Mn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | 446.01 Mn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 290.90 Mn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 124.00 Mn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 800,000.00 |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 134.20 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 40.41 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 2.21 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 1.64 Mn |
| 10 | La Rosa Holdings | 576,952.92 | -12.27 Mn | 1.73 Mn | -1.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.67 Mn |
| Mar 31, 2026 | -2.50 Mn |
| Dec 31, 2025 | -8.22 Mn |
| Sep 30, 2025 | -4.99 Mn |
| Jun 30, 2025 | -2.46 Mn |
| Mar 31, 2025 | -4.67 Mn |
| Dec 31, 2024 | -3.03 Mn |
| Sep 30, 2024 | -1.75 Mn |
| Jun 30, 2024 | -1.84 Mn |
| Mar 31, 2024 | -4.58 Mn |
| Dec 31, 2023 | -5.97 Mn |
| Sep 30, 2023 | -417,453.00 |
| Jun 30, 2023 | -290,121.00 |
| Mar 31, 2023 | -416,243.00 |
| Dec 31, 2022 | -721,304.00 |
| Sep 30, 2022 | -636,815.00 |
API Access
La Rosa Holdings EBIT 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=ebit&ticker=LRHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();