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Asana, Inc (ASAN) Fair Value & Analysis

Technology · US · Market cap $1.6B

Price$6.67
Fair Value$2.87
Upside-57.0%
Quality97/100
Evidence: Medium Range $2.15 – $3.59

Analysis

Asana, Inc (ASAN) currently trades at $6.67, while our model-based Fair Value estimate is $2.87 — implying the stock looks roughly 57.0% 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

Asana, Inc., together with its subsidiaries, operates a work management software platform for individuals, team leads, and executives in the United States and internationally. The company provides work management products; Asana Work Graph, a proprietary data model that maps; AI Teammates, collaborative AI agents that work like real teammates to accelerate outcomes; Asana AI Studio, is a complementary product for designing AI workflows to automate routine, structured, and repeatable processes; and Asana Gov, a secure platform designed for government agencies and regulated industries to deliver mission-critical programs. The company also offers a platform that supports project and process management, goals and business reporting, resource management, and strategic planning and portfolio management. The company uses a hybrid go-to-market approach, combining a product-led model, direct sales, and channel partners to serve customers in various industries, such as technology, retail, edu…

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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.