APPS Stock Analysis: Digital Turbine, Inc. (NASDAQ: APPS)

One-sentence summary of key findings: Digital Turbine operates a mobile growth platform focused on on-device app distribution and app monetization advertising, with recent strong Q1 FY2027 results (revenue +27% YoY) and raised full-year guidance signaling operational momentum amid a history of revenue growth and profitability challenges.

Stock Performance and Company Financials

Company Overview and History (Facts)

Official Investor Relations Site | Company Website | Yahoo Finance Profile

Recent News (Facts from Company Releases)

Full Press Releases Archive

Financial Performance (Facts with Selected Metrics)

Metric Q1 FY2027 (ended Jun 30, 2026) YoY Change FY2026 (ended Mar 31, 2026)
Total Revenue $166.0 million +27% $565.3 million (+15% YoY)
ODS Net Revenue (pre-elim) $110.0 million +15% N/A (segment detail limited)
AGP Net Revenue (pre-elim) $56.6 million +56% N/A
GAAP Net Income (Loss) ($3.2 million) / ($0.03) EPS Improved from ($14.1M) / ($0.13) Net loss reported in prior periods
Non-GAAP Adj. Net Income $24.1 million / $0.19 EPS vs. $7.0M / $0.06 prior year N/A
Non-GAAP Adj. EBITDA $42.5 million +69% $122.5 million (+69% YoY per prior reports)
Non-GAAP Free Cash Flow $11.3 million N/A N/A

FY2027 Guidance (Company-provided, as of Aug 4, 2026): Revenue $650–670 million; Non-GAAP Adj. EBITDA $145–155 million.

Stock Performance Highlights (Historical Facts, Excluding Current Price)

Historical Stock Price Data | Yahoo Finance Historical Data

Interpretation: Strong Q1 results and raised guidance, particularly AGP segment growth and AI tool leverage, suggest improving execution and potential for sustained profitability, though the company has a history of net losses.

Uncertainty/Limitations: Forward-looking guidance and non-GAAP metrics involve management assumptions and exclude items like stock-based compensation; actual results may differ due to market conditions, customer concentration risks, and execution of transformation initiatives. Financial data primarily from company press releases and secondary sources as of early August 2026; GAAP details and full 10-Q/10-K reconciliations recommended for precision.

Analyst Ratings

Consensus Overview (Aggregated from Multiple Analysts)

Metric Details
Overall Consensus Moderate Buy / Overweight / Buy (4–6 analysts covering in recent periods)
Average 12-Month Price Target Approximately $11.00 (ranges reported: low $7.50, high $15.00–$18.00)
Rating Breakdown (approximate recent) Buy/Strong Buy: majority (e.g., 3–4); Hold: 1; Sell: 1 in some aggregates
Recent Actions Upgrades noted (e.g., BofA to Buy, Benchmark initiation Buy, Roth Capital Buy); some target increases

Key Analyst Notes

MarketBeat Analyst Forecasts | Zacks Price Targets | Yahoo Finance Analyst Estimates

Interpretation: Analyst optimism appears tied to recent financial beats and growth outlook, potentially reflecting a turnaround narrative.

Uncertainty/Limitations: Ratings and targets are snapshots from a limited number of analysts and change frequently based on new data; consensus aggregates can vary by source and timing; not investment advice—individual reports should be reviewed directly.

Customers and Competitors

Customers (Facts)

Company FAQ on Business Model

Competitors (Facts and Comparison)

Competitor Key Overlap Notes
AppLovin Mobile app advertising, user acquisition, monetization Larger scale in performance marketing
Google (AdMob, etc.) Mobile ads, Android ecosystem, app distribution Dominant platform control
Unity Ads / ironSource Gaming and app mediation/advertising Strong in specific verticals
Moloco, Liftoff, InMobi Performance advertising and DSP Demand-side alternatives
Magnite, others (e.g., Taboola) Ad tech and programmatic Broader ad tech players

MarketBeat Competitor Comparisons | Company Self-Description of Differentiation

Interpretation: Digital Turbine differentiates via on-device OEM/carrier integrations and scale without being a walled garden, but faces intense competition from larger tech players with greater resources.

Uncertainty/Limitations: Competitor landscape is dynamic; market share data is approximate from third-party analytics and may not capture all nuances; customer lists are generalized from public descriptions rather than exhaustive.