Apellis Pharmaceuticals Inc

Finanzas de Apellis Pharmaceuticals Inc (APLS)

$41.030

-0.029 (-0.07%)Al cierre

Fuentes de ingresos de APLS

Apellis Pharmaceuticals Inc (APLS) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is SYFOVRE, accounting for 56.2% of total sales, equivalent to $150.72M. Other significant revenue streams include Licensing and other revenue and EMPAVELI. Understanding this composition is critical for investors evaluating how APLS navigates market cycles within the Pharmaceuticals industry.

Rentabilidad y márgenes de APLS

Evaluating the bottom line, Apellis Pharmaceuticals Inc maintains a gross margin of 84.89%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 9.86%, while the net margin is 6.95%. These profitability ratios, combined with a Return on Equity (ROE) of 46.02%, provide a clear picture of how effectively APLS converts its operational activities into shareholder value.

Comparativa sectorial de APLS

In the context of the broader market, APLS competes directly with industry leaders such as XENE and PTCT. With a market capitalization of N/A, it holds a significant position in the sector. When comparing efficiency, APLS's gross margin of 84.89% stands against XENE's N/A and PTCT's 91.19%. Such benchmarking helps identify whether Apellis Pharmaceuticals Inc is trading at a premium or discount relative to its financial performance.

Financials

FY2026Q1
YoY:
+60.85%
268.30M
Total Revenue
FY2026Q1
YoY:
-131.76%
26.47M
Operating Profit
FY2026Q1
YoY:
-120.23%
18.66M
Net Income after Tax
FY2026Q1
YoY:
-118.92%
0.14
EPS - Diluted
FY2026Q1
YoY:
+14.13%
-60.97M
Free Cash Flow
FY2026Q1
YoY:
+6.91%
84.89
Gross Profit Margin - %
FY2026Q1
YoY:
-413.89%
3.39
FCF Margin - %
FY2026Q1
YoY:
-112.57%
6.95
Net Margin - %
FY2025Q4
8.13
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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