Last Update 22 Mar 26

Fair value Decreased 12%

SMWB: AI Data Deals And Web Metrics Partnerships Will Support Future Upside

Similarweb's updated fair value estimate moves lower by around $0.75 per share as analysts trim price targets, citing softer Q4 revenue tied to delayed large language model data deals, slower core growth, and ongoing sales execution challenges.

Analyst Commentary

Street research has turned more cautious on Similarweb following Q4 revenue and bookings that came in below consensus and softer FY26 guidance, but there are still some pockets of optimism on the valuation and product opportunity.

Bullish Takeaways

Bullish analysts who keep positive ratings despite trimming targets to a range of about US$4 to US$10 point to current valuation as already reflecting many of the execution and growth concerns.
Some view the large language model data contracts that slipped out of Q4 as still being in the pipeline rather than lost, which they see as preserving potential future revenue optionality.
Improved sales productivity that helped keep EBIT in line with expectations is seen as a partial offset to the softer top line, suggesting the cost base is not entirely out of control.
A few bullish voices continue to see the AI and LLM data opportunity as meaningful over time, even if deal timing is described as lumpy and harder to forecast.

Bearish Takeaways

Bearish analysts highlight repeated references to sales execution issues and elongated sales cycles, which they see as directly pressuring growth and limiting visibility into FY26 performance.
Several downgrades to Hold or Market Perform, along with target cuts from prior levels such as US$14 down to about US$4 to US$8.50, reflect reduced confidence that the company can quickly reaccelerate growth.
Comments about "slowing core business" and an "air pocket of product adoption" as customers shift from SEO to Gen AI search suggest concerns that the core revenue engine may not keep pace with changing customer behavior.
Some bearish analysts argue that inconsistent results in 2024 and 2025 and softer than expected guidance have hurt management’s credibility, which they see as a risk for any re-rating in the stock until execution improves.

What's in the News

Similarweb launched Retail Intelligence, a new suite that combines Amazon IQ with Cross Retail IQ coverage of more than 650 online stores and marketplaces, adding digital shelf analytics, pricing automation, and on site search keyword optimization for brands and retailers. (Key Developments)
The company introduced AI Studio, an enterprise AI intelligence solution built on Similarweb's digital market data, offering Chat for instant Q&A, Deep Research for report generation, and AI Dashboards for auto updating visualizations using natural language prompts. (Key Developments)
Similarweb issued guidance for Q1 2026 revenue of US$72.0 million to US$74.0 million and full year 2026 revenue of US$305.0 million to US$315.0 million, with the midpoints described as representing around 9% and 10% year over year growth respectively. (Key Developments)
Alternative data from Similarweb is now integrated into Bloomberg's ALTD investment research solution on the Bloomberg Terminal, giving entitled clients access to digital metrics such as unique visitors, average visit duration, bounce rate, and page views for near real time analysis. (Key Developments)
Similarweb partnered with Manus so Manus AI agents can tap into Similarweb's web traffic and digital marketing data, including visits, unique visitors, SEO, ecommerce marketplace, app, search, and GenAI brand visibility metrics, via the Model Context Protocol. (Key Developments)

Valuation Changes

Fair Value: Updated estimate moves from about $6.17 to about $5.42 per share, a reduction of roughly 12%.
Discount Rate: Assumed rate edges up slightly from about 11.19% to about 11.30%, implying a modestly higher required return.
Revenue Growth: Long term revenue growth assumption shifts from about 10.48% to about 9.31%, a cut of roughly 1.2 percentage points.
Net Profit Margin: Assumed net margin moves lower from about 6.78% to about 4.73%, a reduction of around 2 percentage points.
Future P/E: The forward P/E multiple assumption rises from about 32.2x to about 41.9x, indicating a higher valuation multiple applied to future earnings in the model.

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Key Takeaways

Strong enterprise adoption of advanced AI-driven analytics and multiyear contracts is boosting recurring revenue, earnings visibility, and long-term profitability.
Expansion into new analytics markets and continuous product innovation are increasing market opportunity and customer retention through differentiated, high-value offerings.
Evolving privacy regulations, data access challenges, customer concentration risks, rapid AI investment, intensifying competition, and industry commoditization threaten growth, profitability, and revenue stability.

Catalysts

About Similarweb

Provides digital data and analytics for power critical business decisions in the United States, Europe, the Asia Pacific, the United Kingdom, Israel, and internationally.What are the underlying business or industry changes driving this perspective?

Rapid customer adoption of Gen AI, LLM, and Agentic AI data products, with strong pipelines and recurring multi-year contracts from large enterprise and tech customers, is likely to propel sustained double-digit revenue growth and improved earnings visibility.
Expansion of product suite into new analytics verticals-including digital ad intelligence, mobile app analytics, and advanced e-commerce tools-significantly broadens addressable market and wallet share per customer, supporting higher top-line and upsell-driven revenue.
Increasing demand for actionable digital intelligence, fueled by enterprises and SMBs seeking data-driven strategic decisions amid global digital transformation, creates a long-term tailwind for product adoption and ARR growth.
Multiyear, high-value contract wins and rising share of recurring revenue (57% of ARR under multiyear agreements, up from 44% YoY) enhance revenue durability and operational leverage, contributing to higher net margins and predictable future earnings.
Product innovation and investment in AI/machine learning deliver improved data accuracy and user automation, elevating customer stickiness and differentiation, which supports margin expansion and stronger long-term profitability.

Assumptions

How have these above catalysts been quantified?

Analysts are assuming Similarweb's revenue will grow by 9.3% annually over the next 3 years.
Analysts assume that profit margins will increase from -11.7% today to 4.7% in 3 years time.
Analysts expect earnings to reach $17.5 million (and earnings per share of $0.23) by about March 2029, up from -$32.9 million today. However, there is some disagreement amongst the analysts with the more bullish ones expecting earnings as high as $23.0 million.
In order for the above numbers to justify the price target of the analysts, the company would need to trade at a PE ratio of 41.9x on those 2029 earnings, up from -6.9x today. This future PE is greater than the current PE for the US Software industry at 29.4x.
Analysts expect the number of shares outstanding to grow by 4.1% per year for the next 3 years.
To value all of this in today's terms, we will use a discount rate of 11.3%, as per the Simply Wall St company report.

Risks

What could happen that would invalidate this narrative?

Intensifying global privacy regulations and the shift toward walled-garden ecosystems (e.g., Apple, Google, Meta) may restrict Similarweb's access to essential third-party digital data, threatening their long-term data quality and comprehensiveness-risking future revenue growth and eroding net margins as compliance and data acquisition become costlier.
Reliance on a limited number of large AI/LLM-related evaluation and licensing contracts (with one customer highlighted for being the company's first 8-figure ARR client) exposes Similarweb to customer concentration risk and uncertain conversion of evaluations to recurring revenue, potentially resulting in future revenue volatility and unpredictability in earnings.
Ongoing heavy investment in new AI product development, go-to-market expansion, and sales ramping could outpace revenue growth if market adoption of AI Agents and Gen AI products slows or customer demand softens, leading to margin pressure and delayed profitability improvements.
Increased competition from both established analytics providers and nimble entrants using alternative approaches (e.g., privacy-centric tools, first-party data platforms, AI-based analytics) could drive pricing pressure and customer churn, undermining Similarweb's pricing power, compressing net margins, and challenging revenue retention.
Industry trends toward commoditization of digital analytics solutions and a growing customer preference for first-party, direct analytics (rather than third-party tools like Similarweb) may reduce overall demand for Similarweb's core offerings, resulting in slower customer acquisition, increased churn, and stalling long-term revenue growth.

Valuation

How have all the factors above been brought together to estimate a fair value?

The analysts have a consensus price target of $5.42 for Similarweb based on their expectations of its future earnings growth, profit margins and other risk factors.
However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of $8.5, and the most bearish reporting a price target of just $3.5.
In order for you to agree with the analysts, you'd need to believe that by 2029, revenues will be $369.1 million, earnings will come to $17.5 million, and it would be trading on a PE ratio of 41.9x, assuming you use a discount rate of 11.3%.
Given the current share price of $2.61, the analyst price target of $5.42 is 51.8% higher.
We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.

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Disclaimer

AnalystConsensusTarget is a tool utilizing a Large Language Model (LLM) that ingests data on consensus price targets, forecasted revenue and earnings figures, as well as the transcripts of earnings calls to produce qualitative analysis. The narratives produced by AnalystConsensusTarget are general in nature and are based solely on analyst data and publicly-available material published by the respective companies. These scenarios are not indicative of the company's future performance and are exploratory in nature. Simply Wall St has no position in the company(s) mentioned. Simply Wall St may provide the securities issuer or related entities with website advertising services for a fee, on an arm's length basis. These relationships have no impact on the way we conduct our business, the content we host, or how our content is served to users. The price targets and estimates used are consensus data, and do not constitute a recommendation to buy or sell any stock, and they do not take account of your objectives, or your financial situation. Note that AnalystConsensusTarget's analysis may not factor in the latest price-sensitive company announcements or qualitative material.

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