POET Technologies Inc

POET Technologies Inc (POET) Financials

$7.500

-0.632 (-8.42%)At close

POET Revenue Streams

POET Technologies Inc (POET) generates its revenue primarily from ODIS, which accounts for 100.0% of total sales, equivalent to $84.63K. Understanding this concentration is critical for investors evaluating how POET navigates market cycles within the Semiconductors industry.

POET Profitability and Margins

Evaluating the bottom line, POET Technologies Inc maintains a gross margin of N/A. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 313.44%, while the net margin is -1989.40%. These profitability ratios, combined with a Return on Equity (ROE) of -16.89%, provide a clear picture of how effectively POET converts its operational activities into shareholder value.

POET Comparative Benchmarking

In the context of the broader market, POET competes directly with industry leaders such as AMSC and EOSE. With a market capitalization of $1.30B, it holds a significant position in the sector. When comparing efficiency, POET's gross margin of N/A stands against AMSC's 25.79% and EOSE's -70.96%. Such benchmarking helps identify whether POET Technologies Inc is trading at a premium or discount relative to its financial performance.

POET Technologies Inc Financial Performance

The company has shown significant revenue growth, with Q2 2026 revenue at $569,925, representing a 112% increase year-over-year. However, net income remains negative, with losses reported in the last several quarters.

Financials

FY2026Q2
YoY:
+112.29%
569.92K
Total Revenue
FY2026Q2
YoY:
+93.23%
-15.89M
Operating Profit
FY2026Q2
YoY:
-34.32%
-11.34M
Net Income after Tax
FY2026Q2
YoY:
-66.67%
-0.07
EPS - Diluted
FY2026Q2
YoY:
+55.12%
-15.28M
Free Cash Flow
FY2026Q1
YoY:
0.00%
100.00
Gross Profit Margin - %
FY2026Q2
YoY:
-71.22%
-2.37K
FCF Margin - %
FY2026Q2
YoY:
-69.06%
-1.99K
Net Margin - %

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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