La Rosa Holdings (LRHC) Operating Leases (2023 - 2026)
La Rosa Holdings (LRHC) reported Operating Leases of $578,533 for Q2 2026, down 18.7% from $711,687 a year earlier but up 29.8% from the prior quarter.
La Rosa Holdings (LRHC) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, La Rosa Holdings posted Operating Leases of $514,388, down 5.7% from FY2024.
- By year, Operating Leases came in at $545,759 in FY2024 (+50.3%) and $363,029 in FY2023.
- Five-year quarterly Operating Leases spans a low of $363,029 in Q4 2023 and a high of $811,395 in Q1 2025.
- Year over year, Operating Leases has now declined in each of the last three quarters, with growth averaging 4.5% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $445,811 (Q1 2026), $514,388 (Q4 2025) and $625,637 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - |
| 10 | La Rosa Holdings | 586,221.23 | -12.26 Mn | 1.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 578,533.00 |
| Mar 31, 2026 | 445,811.00 |
| Dec 31, 2025 | 514,388.00 |
| Sep 30, 2025 | 625,637.00 |
| Jun 30, 2025 | 711,687.00 |
| Mar 31, 2025 | 811,395.00 |
| Dec 31, 2024 | 545,759.00 |
| Sep 30, 2024 | 581,622.00 |
| Jun 30, 2024 | 670,032.00 |
| Mar 31, 2024 | 591,609.00 |
| Dec 31, 2023 | 363,029.00 |
La Rosa Holdings Operating Leases 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-leases&ticker=LRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();