Light Science Technologies Holdings (LST) Fair Value & Analysis
Technology · GB · Market cap 19.7M GBX
Fair value as of: Jun 26, 2026
Analysis
Light Science Technologies Holdings (LST) currently trades at p0.0138, while our model-based Fair Value estimate is p0.0132 — implying the stock looks roughly 3.8% overvalued today. We read business quality at 85/100 (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
Light Science Technologies Holdings Plc engages in the development and manufacture of electronic boards in the United Kingdom, Europe, and internationally. It operates through three segments: Contract Electronics Manufacture; AgTech; and Passive Fire Protection. The company also develops, manufactures, and installs lighting, technology, and other products for AgTech sector; and installation of retrospective cavity barriers in wall and floor constructions. In addition, it designs, procures, and manufactures printed circuit boards that are used in various sectors, including audio, automotive, electronics, gas detection, lighting, pest control, sports entertainment, and AgTech market. The company was incorporated in 2020 and is headquartered in Ashbourne, the United Kingdom.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Light Science Technologies Holdings (LST) undervalued?
What is the fair value of LST?
What is the quality score of LST?
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.