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Seeing Machines Limited (SEE) Fair Value & Analysis

Technology · GB · Market cap 232M GBX

Pricep0.0440
Fair Valuep0.0290
Upside-34.0%
Quality95/100
Evidence: Low

Fair value as of: Jun 26, 2026

Analysis

Seeing Machines Limited (SEE) currently trades at p0.0440, while our model-based Fair Value estimate is p0.0290 — implying the stock looks roughly 34.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

Seeing Machines Limited, together with its subsidiaries, provides driver and occupant monitoring system technologies in Australia, North America, the Asia Pacific, Europe, and internationally. It operates through Original Equipment Manufacturer (OEM) and Aftermarket segments. The company offers operator monitoring and intervention sensing technologies and services for the automotive, mining, transport, and aviation industries. It also develops, sells, and licenses products, services, and technology to detect and manage driver fatigue and distraction. In addition, the company provides hardware and software, after-sales monitoring, and consulting services. Seeing Machines Limited was incorporated in 2000 and is based in Fyshwick, Australia.

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Frequently asked questions

Is Seeing Machines Limited (SEE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p0.0290 versus a price of p0.0440 — about −34% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SEE?
Our 21-model fair value for Seeing Machines Limited is p0.0290 (as of Jun 26, 2026), built from audited fundamentals. The current price is p0.0440.
What is the quality score of SEE?
Seeing Machines Limited has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.