Transense Technologies plc (TRT) Fair Value & Analysis
Consumer Cyclical · GB · Market cap 9.2M GBX
Fair value as of: Jun 25, 2026
Analysis
Transense Technologies plc (TRT) currently trades at p0.4800, while our model-based Fair Value estimate is p1.57 — implying the stock looks roughly 227.1% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Transense Technologies plc engages in the provision of specialist sensor systems in the United Kingdom, North America, South America, Australia, Europe, and internationally. It operates through Translogik, SAWsense, and iTrack Royalties segments. The company offers surface acoustic wave or SAW sensor technology used to measure torque, force, pressure, and temperature in safety and performance critical applications in the electric motors and drives, aerospace and defense, industrial machinery and robotics, and motorsport markets. It also provides tire inspection tools, such as TLGX series, which measures tread depth and pressure, read tire RFID, and interrogate tire pressure monitoring systems, as well as Radio Frequency Identification tag for use in tire theft and cloning prevention for tire manufacturers and distributors, commercial vehicle service centers, truck and bus fleet operators, and fleet management software developers. Transense Technologies plc was incorporated in 1985 a…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Transense Technologies plc (TRT) undervalued?
What is the fair value of TRT?
What is the quality score of TRT?
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.