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Serko Limited (SERKF) Fair Value & Analysis

Technology · US · Market cap $129M

Price$1.02
Fair Value$0.3900
Upside-61.7%
Quality97/100
Evidence: Medium Range $0.2900 – $0.5000

Fair value as of: Jun 24, 2026

Analysis

Serko Limited (SERKF) currently trades at $1.02, while our model-based Fair Value estimate is $0.3900 — implying the stock looks roughly 61.7% overvalued today. We read business quality at 97/100 (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: medium).

About the company

Serko Limited provides online travel booking and expense management services in New Zealand, Australia, the United States, Europe, and internationally. The company offers solutions for travelers to book and manage their work trips and travel programmes. It provides Booking.com for Business, that is used by small-to-medium businesses; Zeno for managed business travel; and GetThere, a corporate booking tool. The company also offers Serko.ai, an agentic AI offering. Serko Limited was founded in 1994 and is headquartered in Auckland, New Zealand.

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Frequently asked questions

Is Serko Limited (SERKF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.3900 versus a price of $1.02 — about −62% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SERKF?
Our 21-model fair value for Serko Limited is $0.3900 (as of Jun 24, 2026), built from audited fundamentals. The current price is $1.02.
What is the quality score of SERKF?
Serko Limited has a Quality Score of 97/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.