AEye Inc

AEye Inc (LIDR) Financials

$0.859

-0.026 (-2.98%)At close

LIDR Revenue Streams

AEye Inc (LIDR) generates its revenue primarily from Automaker, which accounts for 100.0% of total sales, equivalent to $1.09M. Understanding this concentration is critical for investors evaluating how LIDR navigates market cycles within the Electronic Equipment & Parts industry.

LIDR Profitability and Margins

Evaluating the bottom line, AEye Inc maintains a gross margin of -79.70%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -5324.26%, while the net margin is -4961.39%. These profitability ratios, combined with a Return on Equity (ROE) of -89.28%, provide a clear picture of how effectively LIDR converts its operational activities into shareholder value.

LIDR Comparative Benchmarking

In the context of the broader market, LIDR competes directly with industry leaders such as SOGP and VIP. With a market capitalization of $41.34M, it holds a leading position in the sector. When comparing efficiency, LIDR's gross margin of -79.70% stands against SOGP's 30.53% and VIP's -173.91%. Such benchmarking helps identify whether AEye Inc is trading at a premium or discount relative to its financial performance.

AEye Inc Financial Performance

The company's total revenue is projected to grow from $46,000 in Q4 2024 to $202,000 in Q2 2026, indicating potential growth. However, net income remains negative, with a loss of $10,022,000 in Q2 2026, and gross margins are consistently negative, peaking at -79.70%.

Financials

FY2026Q2
YoY:
+818.18%
202.00K
Total Revenue
FY2026Q2
YoY:
+23.52%
-10.76M
Operating Profit
FY2026Q2
YoY:
+8.11%
-10.02M
Net Income after Tax
FY2026Q2
YoY:
-54.17%
-0.22
EPS - Diluted
FY2026Q2
YoY:
+16.60%
-7.42M
Free Cash Flow
FY2026Q2
YoY:
-79.61%
-79.70
Gross Profit Margin - %
FY2026Q2
YoY:
-41.54%
-6.64K
FCF Margin - %
FY2026Q2
YoY:
-88.23%
-4.96K
Net Margin - %

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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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