Fairvalue-Calculator Fairvalue-Calculator
EN DE

Maase Inc (MAAS) Fair Value & Analysis

Financial Services · US · Market cap $4.9B

Price$17.45
Fair Value$1.78
Upside-89.8%
Quality77/100
Evidence: Low Range $1.30 – $2.26

Fair value as of: Jun 26, 2026

✦ Find undervalued quality stocks — 34,000+ analysed Find stocks →

Analysis

Maase Inc (MAAS) currently trades at $17.45, while our model-based Fair Value estimate is $1.78 — implying the stock looks roughly 89.8% overvalued today. We read business quality at 77/100 (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: low).

About the company

Maase Inc. operates as an integrated provider and operator of an artificial intelligence ("AI") -centric full-scene digital systems. The company focuses on areas of flexible energy deployment and intelligent commercial network operation, and provide closed-loop solutions from computing infrastructure, smart hardware and full-scene services, aiming to achieve large-scale implementation of AI technologies across industries. The company was founded in 2010 and is based in Chengdu, China.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Maase Inc (MAAS) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $1.78 versus a price of $17.45 — about −90% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MAAS?
Our 21-model fair value for Maase Inc is $1.78 (as of Jun 26, 2026), built from audited fundamentals. The current price is $17.45.
What is the quality score of MAAS?
Maase Inc has a Quality Score of 77/100, 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.