Logo

LRHC

La Rosa Holding Corp. Common Stock

LRHC

La Rosa Holding Corp. Common Stock NASDAQ
$1.94 4.30% (+0.08)

Market Cap $1.95 M
52w High $95.20
52w Low $1.75
Dividend Yield 0%
P/E -0.05
Volume 31.51K
Outstanding Shares 1.00M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q3-2025 $20.216M $6.697M $-5.533M -27.371% $-5.44 $-5.081M
Q2-2025 $23.214M $4.315M $78.42M 337.81% $115.11 $78.992M
Q1-2025 $17.514M $6.206M $-95.717M -546.502% $-0.076 $-95.233M
Q4-2024 $17.715M $4.761M $-5.077M -28.656% $-0.003 $-4.333M
Q3-2024 $19.593M $3.384M $-2.452M -12.516% $-0.003 $-1.873M

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q3-2025 $3.993M $21.69M $15.976M $1.558M
Q2-2025 $5.095M $22.908M $15.312M $3.428M
Q1-2025 $2.854M $21.043M $104.42M $-87.502M
Q4-2024 $1.443M $19.407M $12.732M $2.568M
Q3-2024 $1.812M $19.687M $9.297M $4.956M

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q3-2025 $-5.545M $-1.35M $0 $723.825K $-625.698K $-1.35M
Q2-2025 $78.463M $-1.39M $0 $3.532M $2.142M $-1.39M
Q1-2025 $-95.699M $-3.493M $0 $4.832M $1.339M $-3.493M
Q4-2024 $-5.026M $-1.064M $-88.539K $773.762K $-379.148K $-1.064M
Q3-2024 $-2.393M $-591.567K $-51.804K $1.285M $641.514K $-596.6K

Five-Year Company Overview

Income Statement

Income Statement La Rosa is still a very small business in financial terms, with only modest revenue and a history of losses. Sales have crept up over the last few years, but not enough to cover operating costs. The company is just beginning to show a bit of gross profit, yet it continues to report operating and net losses. In practice, this looks like a company still in the “build‑out” phase: investing in its platform, people, and growth well ahead of the revenue it currently generates, with no clear track record of sustained profitability so far.


Balance Sheet

Balance Sheet The balance sheet is thin. Total assets and equity are very small, and reported cash balances are essentially negligible, suggesting limited financial cushion. On the positive side, there is no reported debt, so the company is not burdened by interest payments. However, the combination of tiny equity, minimal cash, and ongoing losses implies that La Rosa’s financial flexibility is constrained and that growth plans will likely depend heavily on outside capital. The announced reverse stock split underlines its micro‑scale public footprint.


Cash Flow

Cash Flow Reported cash flow numbers are essentially flat, with no meaningful operating cash inflows and no visible pattern of free cash generation. Capital spending has historically been very light, which fits a brokerage and software‑driven model, but sits in sharp contrast to the heavy investment that would be required for large data center projects. Overall, the company does not yet appear to be self‑funding and seems reliant on external financing to support operations and any significant expansion.


Competitive Edge

Competitive Edge In brokerage and real estate services, La Rosa operates in a crowded field dominated by large national brands and newer tech‑enabled players. Its main differentiator is an agent‑centric model: flexible compensation choices, strong emphasis on training, and a suite of in‑house tech tools designed to make agents more productive. The company also offers a broad mix of services—residential, commercial, franchising, coaching, property management, and title—which can deepen relationships with agents and clients. That said, its small size, limited brand recognition, and overlap with models used by bigger tech brokerages mean its competitive moat is still emerging, not yet deeply entrenched. The planned move into AI data center real estate places it in a new arena with well‑capitalized infrastructure specialists, raising both opportunity and competitive intensity.


Innovation and R&D

Innovation and R&D Innovation is the clear highlight. La Rosa has built its own central platform (“My Agent Account”) and continues to upgrade it, adding integrated transaction management and workflow tools. Its in‑house AI assistant, JAEME AI, plus a partnership with Lofty, are aimed at giving agents smarter, always‑on support for deals, training, and marketing. The company is experimenting with cryptocurrency payments and exploring blockchain concepts like tokenization and smarter contracts, signaling a willingness to test emerging technologies even if the commercial payoff is still uncertain. The most ambitious initiative is its push into AI data center infrastructure, using real estate expertise to acquire and repurpose properties for high‑performance computing. This represents a bold, high‑risk, high‑complexity pivot well beyond traditional brokerage, and its success will depend on execution, capital access, and the ability to compete with specialized data center players.


Summary

La Rosa Holding looks like an early‑stage, niche real estate and technology platform that is trying to punch above its current financial weight. The core business is an agent‑focused brokerage and services ecosystem that leans heavily on proprietary software, AI tools, and a wide set of related offerings. Financially, the company remains very small, not yet consistently profitable, with a thin balance sheet, minimal cash buffer, and no current debt. Strategically, management is pursuing ambitious, forward‑leaning initiatives—from AI‑enabled brokerage tools to blockchain experimentation and a major planned expansion into AI data centers. This mix offers substantial upside potential if successfully executed, but also raises meaningful risks around execution, funding needs, and intense competition from much larger, better‑capitalized firms. Overall, the story is one of high innovation and high uncertainty, with the future trajectory likely to hinge on whether the company can turn its technology and new ventures into durable, profitable scale.