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Digital Turbine, Inc (APPS) Fair Value & Analysis

Technology · US · Market cap $1.0B

Price$9.26
Fair Value$4.78
Upside-48.4%
Quality97/100
Evidence: High Range $3.58 – $5.97

Analysis

Digital Turbine, Inc (APPS) currently trades at $9.26, while our model-based Fair Value estimate is $4.78 — implying the stock looks roughly 48.4% 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: high).

About the company

Digital Turbine, Inc., through its subsidiaries, operates a mobile growth platform for advertisers, publishers, carriers, and device original equipment manufacturers (OEMs). It operates through two segments, On Device Solutions and App Growth Platform. The company's application media platform delivers apps to end users through partnerships with wireless carriers and OEMs; and content media platform offers news, weather, sports, and other content, as well as programmatic advertising partner and media content delivery services, and sponsored and editorial content media. It also provides direct campaign management products, such as the DT DSP and DT Offer Wall; ad monetization solutions that allow mobile app publishers and developers to monetize their monthly active users via display, native, and video advertising; brands and agencies, which run mobile brand-awareness campaigns on the direct mobile app inventory; and app developers and other performance-focused advertisers that execute…

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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.