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Freelancer Limited (FLNCF) Fair Value & Analysis

Communication Services · US · Market cap $81.2M

Price$0.1800
Fair Value$0.0600
Upside-66.7%
Quality89/100
Evidence: Medium Range $0.0500 – $0.0700

Fair value as of: Jun 26, 2026

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Analysis

Freelancer Limited (FLNCF) currently trades at $0.1800, while our model-based Fair Value estimate is $0.0600 — implying the stock looks roughly 66.7% overvalued today. We read business quality at 89/100 (high quality), in the Communication Services 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

Freelancer Limited operates a freelancing and crowdsourcing marketplace in Australia. The company operates in two segments, Online Marketplace and Online Payment Services. Its marketplace allows employers to hire freelancers in the field of software development, writing, data entry and design, engineering, sciences, sales and marketing, and accounting and legal services. The company connects employers and freelancers from approximately 247 countries, regions, and territories. It also provides escrow payment services. The company was founded in 2009 and is based in Sydney, Australia.

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Frequently asked questions

Is Freelancer Limited (FLNCF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0600 versus a price of $0.1800 — about −67% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FLNCF?
Our 21-model fair value for Freelancer Limited is $0.0600 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1800.
What is the quality score of FLNCF?
Freelancer Limited has a Quality Score of 89/100, 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.