La Rosa Holdings (LRHC) Operating Expenses (2022 - 2026)
La Rosa Holdings (LRHC) recorded Operating Expenses of $3.4 million in Q2 2026, down 21.2% from $4.31 million a year earlier and down 24.3% from the prior quarter.
La Rosa Holdings (LRHC) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, La Rosa Holdings' Operating Expenses came in at $24.68 million as of Jun 30, 2026, up 33.4% year-over-year; for FY2025, it came in at $27.3 million, up 59.2% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a three-year compound annual growth rate of 82.0% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $17.15 million in FY2024 (+72.7%), $9.93 million in FY2023 (+119.3%) and $4.53 million in FY2022.
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 51.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 568.6% in Q4 2023, against a decline of 33.8% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.49 million (Q1 2026), $10.09 million (Q4 2025) and $6.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | -587.69 Mn |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 6.64 Bn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 485.10 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 2.63 Bn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 200.70 Mn |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | 162.79 Mn |
| 10 | La Rosa Holdings | 586,221.23 | -12.26 Mn | 1.73 Mn | 3.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.40 Mn |
| Mar 31, 2026 | 4.49 Mn |
| Dec 31, 2025 | 10.09 Mn |
| Sep 30, 2025 | 6.70 Mn |
| Jun 30, 2025 | 4.31 Mn |
| Mar 31, 2025 | 6.21 Mn |
| Dec 31, 2024 | 4.59 Mn |
| Sep 30, 2024 | 3.38 Mn |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 5.75 Mn |
| Dec 31, 2023 | 6.94 Mn |
| Sep 30, 2023 | 992,952.00 |
| Jun 30, 2023 | 957,356.00 |
| Mar 31, 2023 | 1.04 Mn |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 1.19 Mn |
La Rosa Holdings Operating Expenses 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=operating-expenses&ticker=LRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();