Technical Publications Service S.p.A (TPS) Fair Value & Analysis
Technology · IT · Market cap 1.3B THB
Fair value as of: Jun 24, 2026
Analysis
Technical Publications Service S.p.A (TPS) currently trades at 3.18 THB, while our model-based Fair Value estimate is 5.71 THB — implying the stock looks roughly 79.6% undervalued today. We read business quality at 94/100 (high quality), in the Technology 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
Technical Publications Service S.p.A. engages in the provision of engineering and digital services in Italy, EU Countries, and internationally. The company offers aviation mission equipment including medical, aerial work, avionic, and customization kit; and technical publishing and training services, such as integrated logistic support, process and standards, technical regulations and standards, and technical training and services. It also provides design and cost engineering services comprising design engineering, analysis and stimulations services, cost engineering, and gearbox products; and information technologies and avionic services, including software development and testing, test program set, avionics systems integration, and applications design and development services. In addition, the company offers additive manufacturing, manufacturing and assembly, harness engineering, ground support equipment, and part 145 and avionics; and digital content management services, such as …
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Technical Publications Service S.p.A (TPS) undervalued?
What is the fair value of TPS?
What is the quality score of TPS?
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.