LIDR aeye.ai: Bathi resik saben saham sajrone 12 wulan pungkasan

The GURU.Markets terminal provides a chart of the 12-month rolling EPS, where -0.80 characterizes this valuation parameter. AEye, Inc. (LIDR) generates revenue based on B2B contracts with autonomous vehicle developers. AEye, Inc. (LIDR) implements ESG principles through safe laser systems and eco-friendly production. Meanwhile, the business relies on a fabless model, fully delegating lidar manufacturing to external partners.

LIDR Bathi saben saham sajroning taun lumaku AEye, Inc. (04.07.2022 - 13.11.2026)

Rincian metrik keuangan lan pasar AEye Inc (LIDR)

- rega saham lan target rega konsensus:

Rega saham AEye, Inc.|LIDR - Target konsensus

- data kapitalisasi saham perusahaan:

Biji pasar AEye, Inc.|LIDR - Total Nilai Bisnis

- indikator nilai aset resik miturut neraca:

Aset Bersih saben Siji Saham AEye|LIDR - Nilai Akuntansi Perusahaan|Rasio Nilai Pasar marang Nilai Buku aeye.ai|LIDR - Aset Perusahaan

- rincian struktur utang lan likuiditas bisnis:

- data bathi lan kelipatan valuasi:

LIDR - Penghasilan resik perusahaan|Bathi mangsa ngarep AEye, Inc.|LIDR - Nilai perusahaan marang bathi resik|Pangali Forward P/E AEye|LIDR - Kapitalisasi marang bathi resik kanthi nimbang wutah|Nilai perusahaan marang bathi sadurunge bunga, pajeg, lan panyusutan AEye, Inc.|LIDR - Bathi operasional sadurunge amortisasi|Bathi resik saben saham (EPS TTM) AEye|LIDR - Bathi resik saben saham sajrone 12 wulan pungkasan|Wutah bathi resik saben saham taun-ka-taun sajrone 12 wulan pungkasan aeye.ai|LIDR - Prakiraan wutah bathi resik saben saham ing taun iki|Prakiraan wutah bathi resik saben saham kanggo taun ngarep AEye, Inc.

Analisis kabeh metrik perusahaan:AEye, Inc. (LIDR)

Professional capital evaluates the profile of AEye, Inc. (LIDR) through the lens of real earnings per share. This metric is calculated as the ratio of net income to the number of securities, as reflected in the net income per share trend over the last four quarters. Growth in this indicator confirms the effective monetization of AI lidar patents. However, high certification costs in the automotive industry may temporarily pressure margins. A stable upward trend here will serve as the primary confirmation of the asset's fundamental reliability.

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