La Rosa Holdings (LRHC) Selling, General & Administrative (2022 - 2026)
La Rosa Holdings' Selling, General & Administrative came in at $3.14 million for Q2 2026, down 1.9% from $3.2 million a year earlier and down 20.9% from the prior quarter.
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Analysis
La Rosa Holdings (LRHC) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, La Rosa Holdings reported Selling, General & Administrative of $14.05 million, up 12.5% year-over-year; for FY2025, it was $13.87 million, up 30.5% from FY2024.
- Selling, General & Administrative has increased in each of the last three years, with a three-year compound annual growth rate of 52.9% (FY2022 to FY2025).
- Going back by year, Selling, General & Administrative was $10.63 million in FY2024 (+137.5%), $4.47 million in FY2023 (+15.2%) and $3.88 million in FY2022.
- The five-year range for quarterly Selling, General & Administrative is $687,909 (Q4 2022) to $4.22 million (Q3 2025).
- Year-over-year, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 47.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2024 (growth of 222.2%), and the weakest in Q3 2023 (a decline of 17.2%).
- Business Quant data shows LRHC's Selling, General & Administrative at $3.97 million (Q1 2026), $2.72 million (Q4 2025) and $4.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | -300.18 Mn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | 93.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 436.75 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 349.30 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 186.14 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 71.69 Mn |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 71.58 Mn |
| 10 | La Rosa Holdings | 361,464.47 | -12.48 Mn | 1.73 Mn | 3.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.14 Mn |
| Mar 31, 2026 | 3.97 Mn |
| Dec 31, 2025 | 2.72 Mn |
| Sep 30, 2025 | 4.22 Mn |
| Jun 30, 2025 | 3.20 Mn |
| Mar 31, 2025 | 3.73 Mn |
| Dec 31, 2024 | 2.82 Mn |
| Sep 30, 2024 | 2.75 Mn |
| Jun 30, 2024 | 2.74 Mn |
| Mar 31, 2024 | 2.32 Mn |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 938,634.00 |
| Jun 30, 2023 | 850,477.00 |
| Mar 31, 2023 | 883,261.00 |
| Dec 31, 2022 | 687,909.00 |
| Sep 30, 2022 | 1.13 Mn |
API Access
La Rosa Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=LRHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LRHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();