Qfin Holdings (QFIN) Fair Value & Analysis
Financial Services · US · Market cap $1.9B
Fair value as of: Jun 25, 2026
Analysis
Qfin Holdings (QFIN) currently trades at $15.18, while our model-based Fair Value estimate is $13.31 — implying the stock looks roughly 12.3% overvalued today. We read business quality at 95/100 (high quality), in the Financial 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: high).
About the company
Qfin Holdings, Inc., together with its subsidiaries, operate AI- driven credit-tech platform under the Qifu Jietiao brand in the People's Republic of China. The company provides credit-driven services that match borrowers with financial institutions to conduct borrower acquisition, credit assessment, fund matching, and post-facilitation services; and platform services, including loan and post-facilitation services to financial institution partners under capital light model, intelligence credit engine, referral services, and other technology solutions. It serves financial institutions, consumers, and small and micro-enterprises. The company was formerly known as Qifu Technology, Inc. and changed its name to Qfin Holdings, Inc. in July 2025. Qfin Holdings, Inc. was founded in 2016 and is headquartered in Shanghai, the People's Republic of China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Qfin Holdings (QFIN) undervalued?
What is the fair value of QFIN?
What is the quality score of QFIN?
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.