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Temenos AG (TMNSF) Fair Value & Analysis

Technology · US · Market cap $6.7B

Price$75.31
Fair Value$87.33
Upside+16.0%
Quality95/100
Evidence: High Range $53.52 – $109.16

Analysis

Temenos AG (TMNSF) currently trades at $75.31, while our model-based Fair Value estimate is $87.33 — implying the stock looks roughly 16.0% undervalued today. We read business quality at 95/100 (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

Temenos AG develops, markets, and sells integrated banking software systems to banking and other financial services institutions in North America, Europe, the Middle East and Africa, Latin America, and the Asia-Pacific. It operates through two segments, The Product and Service. The Product segment is primarily engaged in marketing, licensing and maintaining the Group's software solutions, including software development fees for requested functionality, as well as providing hosting and subscription arrangements. The Services segment represents various implementation tasks, such as consulting and training. It also offers retail and business; corporate and commercial; and wealth management solutions. The company was formerly known as Temenos Group AG and changed its name to Temenos AG in May 2018. Temenos AG was founded in 1993 and is headquartered in Lancy, Switzerland.

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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.