Interlink Electronics, Inc (LINK) Fair Value & Analysis
Technology · US · Market cap $72.5M
Fair value as of: Jun 24, 2026
Analysis
Interlink Electronics, Inc (LINK) currently trades at $4.12, while our model-based Fair Value estimate is $1.76 — implying the stock looks roughly 57.3% 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
Interlink Electronics, Inc. provides sensors and printed electronics for use in human-machine interface (HMI) devices and internet-of-things solutions in the United States, Asia, the Middle East, Europe, and internationally. Its force-sensing products and solutions include sensor components, subassemblies, modules, and integrated products that support cursor control and novel three-dimensional user inputs. The company also provides force-sensing resistor (FSR) sensors; force-sensing linear potentiometers; integrated pointing modules; and piezoelectric sensors and development kits for dynamic strain measurement, impact detection, vital signs monitoring, accelerometry, motion detection, and rugged solid-state switching. In addition, it offers Further, the company provides Eco Sensors branded line of ozone monitors and detectors; solutions for in-line carbon monoxide monitoring; screen-printed electrochemical gas sensors; gas-sensor modules; and membrane keypads, graphic overlays, prin…
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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.