La Rosa Holdings (LRHC) Cost of Revenue (2022 - 2026)
La Rosa Holdings (LRHC) recorded Cost of Revenue of $13.32 million in Q2 2026, down 27.5% from $18.38 million a year earlier but up 15.0% from the prior quarter.
La Rosa Holdings (LRHC) Cost of Revenue (2022 - 2026) Analysis & Trends
On a TTM basis, La Rosa Holdings' Cost of Revenue came in at $54.96 million as of Jun 30, 2026, down 8.3% year-over-year; for FY2025, it was $61.54 million, up 16.7% from FY2024.
- Annual Cost of Revenue has increased for three straight years, with a three-year compound annual growth rate of 37.5% (FY2022 to FY2025).
- Across earlier years, Cost of Revenue came in at $52.73 million in FY2024 (+82.3%), $28.92 million in FY2023 (+22.1%) and $23.68 million in FY2022.
- Quarterly Cost of Revenue has ranged from $5.41 million in Q1 2023 to $18.38 million in Q2 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in six of the last eight quarters, with growth averaging 25.8%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 144.4% in Q3 2024, against a decline of 27.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.58 million (Q1 2026), $14.56 million (Q4 2025) and $15.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 9.14 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 2.58 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 937.39 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 2.25 Bn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 1.35 Bn |
| 10 | La Rosa Holdings | 361,464.47 | -12.48 Mn | 1.73 Mn | 13.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.32 Mn |
| Mar 31, 2026 | 11.58 Mn |
| Dec 31, 2025 | 14.56 Mn |
| Sep 30, 2025 | 15.50 Mn |
| Jun 30, 2025 | 18.38 Mn |
| Mar 31, 2025 | 13.10 Mn |
| Dec 31, 2024 | 13.28 Mn |
| Sep 30, 2024 | 15.20 Mn |
| Jun 30, 2024 | 14.78 Mn |
| Mar 31, 2024 | 9.47 Mn |
| Dec 31, 2023 | 10.47 Mn |
| Sep 30, 2023 | 6.22 Mn |
| Jun 30, 2023 | 6.82 Mn |
| Mar 31, 2023 | 5.41 Mn |
| Dec 31, 2022 | 5.68 Mn |
| Sep 30, 2022 | 5.58 Mn |
La Rosa Holdings Cost of Revenue 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=cost-of-revenue&ticker=LRHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();