Fairvalue-Calculator Fairvalue-Calculator
EN DE

Trainline plc (TNLIY) Fair Value & Analysis

Consumer Cyclical · US · Market cap $1.0B

Price$5.87
Fair Value$13.07
Upside+122.7%
Quality97/100
Evidence: High Range $9.79 – $16.34

Analysis

Trainline plc (TNLIY) currently trades at $5.87, while our model-based Fair Value estimate is $13.07 — implying the stock looks roughly 122.7% undervalued today. We read business quality at 97/100 (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

Trainline plc engages in the operation of an independent rail and coach travel platform that sells rail and coach tickets worldwide. It operates in three segments: UK Consumer, International Consumer, and Trainline Solutions. The UK Consumer segment provides travel apps and websites for individual travelers for journeys within the United Kingdom. Its International Consumer segment offers travel apps and websites for individual travelers for journeys between the United Kingdom and outside the United Kingdom. The Trainline Solutions segment provides travel portal platforms for its own branded business units, corporates, and travel management companies; and white label e-commerce platforms for train operating companies within the United Kingdom, as well as operates Platform One Solutions. Trainline plc was founded in 1997 and is based in London, the United Kingdom.

Open the full interactive analysis →

Similar stocks

Booking Holdings (BKNG) -40% Airbnb, Inc (ABNB) -21% Royal Caribbean Cruises Ltd (RCL) -40% Viking Holdings (VIK) -41% Carnival Corporation (CCL) +21% Trip.com Group (9961) +92%

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.