Complii FinTech Solutions Ltd (CF1) Fair Value & Analysis
Technology · AU · Market cap A$16.3M
Fair value as of: Jun 26, 2026
Analysis
Complii FinTech Solutions Ltd (CF1) currently trades at A$0.0280, while our model-based Fair Value estimate is A$0.0230 — implying the stock looks roughly 18.0% overvalued today. We read business quality at 95/100 (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: low).
About the company
Complii FinTech Solutions Ltd operates an integrated corporate and adviser management platform for the financial services sector in Australia, the Philippines, and internationally. It operates Account Fast that enables new adviser client establishment for online service management; Boom, a back office online management for online client account administration and paraplanning; Adviser Bid, which enables automated distribution and acceptance of corporate deals; Complaints that manages resolution, notify, and alert for mandatory obligation deadlines; Compliance that fulfills all transactionally related Australian financial services license (AFSL) requirements; Corporate Highway Access for corporate deal flow and liquidity within the Complii Community; Financial Crimes that enables alert to suspicious trading and screen clients/investors; Rebalancer, an intuitive workflow to rebalance client portfolios, actively monitor drift and generate client reports; Online portfolio is the portal …
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Complii FinTech Solutions Ltd (CF1) undervalued?
What is the fair value of CF1?
What is the quality score of CF1?
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.