Anywhere Real Estate Inc

Finanzas de Anywhere Real Estate Inc (HOUS)

$17.640

+0.632 (+3.58%)Al cierre

Fuentes de ingresos de HOUS

Anywhere Real Estate Inc (HOUS) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is Gross Commission Income, accounting for 81.4% of total sales, equivalent to $1.32B. Other significant revenue streams include Service revenue and Franchise fees. Understanding this composition is critical for investors evaluating how HOUS navigates market cycles within the Real Estate Services industry.

Rentabilidad y márgenes de HOUS

Evaluating the bottom line, Anywhere Real Estate Inc maintains a gross margin of 12.61%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 2.77%, while the net margin is -0.80%. These profitability ratios, combined with a Return on Equity (ROE) of -8.15%, provide a clear picture of how effectively HOUS converts its operational activities into shareholder value.

Comparativa sectorial de HOUS

In the context of the broader market, HOUS competes directly with industry leaders such as LND and EXPI. With a market capitalization of N/A, it holds a significant position in the sector. When comparing efficiency, HOUS's gross margin of 12.61% stands against LND's 2.58% and EXPI's 7.49%. Such benchmarking helps identify whether Anywhere Real Estate Inc is trading at a premium or discount relative to its financial performance.

Financials

FY2025Q3
YoY:
+5.93%
1.63B
Total Revenue
FY2025Q3
YoY:
+12.50%
45.00M
Operating Profit
FY2025Q3
YoY:
-1800.00%
-17.00M
Net Income after Tax
FY2025Q3
YoY:
-300.00%
-0.12
EPS - Diluted
FY2025Q3
YoY:
-9.80%
92.00M
Free Cash Flow
FY2025Q3
YoY:
-4.18%
12.61
Gross Profit Margin - %
FY2025Q3
YoY:
-255.56%
-0.70
FCF Margin - %
FY2025Q3
YoY:
-273.91%
-0.80
Net Margin - %
FY2022Q3
6.60
ROIC

Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.

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