Similarweb Ltd. Q2 2026 Earnings Call Summary

Similarweb Ltd. Q2 2026 Earnings Call Summary

Moby Intelligence

Thu, August 13, 2026 at 12:08 AM GMT+3 3 min read

• SMWB +2.50%

Strategic Performance Drivers

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• Management attributes the record net new ARR and positive GAAP operating profit to a strategic pivot from a 'land and expand' software model to becoming a core enterprise data provider.

• AI is fundamentally changing data economics by removing human capacity constraints; AI systems can now ingest and analyze Similarweb data at a scale and speed that significantly increases the ROI for customers.

• The company successfully moved upmarket, with customers generating over $100,000 in ARR now representing almost 70% of total business, up from 63% a year ago.

• Strategic focus on the 'ALO' (AI, LLM, and OEM) go-to-market team has unlocked 8-figure engagements that were historically rare for the company.

• Operational discipline and improved sales productivity drove the first-ever quarter of positive GAAP operating profit, despite ongoing FX headwinds from the Israeli shekel.

• Management notes that proprietary digital data has transitioned from a software application tool to 'fuel' for the AI ecosystem, serving both pre-training and post-training use cases.

Outlook and Strategic Assumptions

• Full-year revenue guidance was raised for the second time this year to $340M–$380M, assuming accelerated growth in the second half of 2026 supported by strong Q2 ARR momentum.

• Management expects NRR to continue trending upward throughout 2026, citing that current reported figures are a trailing 4-quarter average and do not yet fully reflect the high NRR achieved in Q2.

• The company anticipates generating positive normalized free cash flow on a quarterly basis going forward, supported by an 11% free cash flow margin in Q2.

• Future growth is predicated on a three-pillar AI strategy: powering external AI systems, building AI-native products like 'AI Studio', and expanding distribution through platforms like Claude, ChatGPT, and Perplexity.

• Guidance assumes continued expansion of multi-year commitments, which currently stand at 66% of ARR, providing increased revenue durability.

Structural Shifts and Risk Factors

• Signed three large multi-year contracts in Q2 with a cumulative value exceeding $60 million, representing a fundamental shift in deal size and complexity.

• AI-related revenue reached 13% of total revenue in Q2, up from 11% at the end of 2025, signaling the growing materiality of the AI sector.

• The company is intentionally deprioritizing smaller inbound SMB deals to focus resources on large-scale enterprise opportunities, resulting in a 19% increase in average account value for the $25k+ cohort.

• Management confirmed the CEO search is progressing with strong candidates currently being interviewed.

Q&A Session Summary

Nature of large enterprise deals and data consumption trends

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• Management clarified that only one of the three major Q2 deals was for LLM training; the others involve enterprises leveraging data for internal AI-driven applications and decision-making.

• The shift toward data consumption models rather than seat-based software licenses allows for much larger contract values as AI agents can query data across thousands of use cases.

Sustainability of NRR and gross retention improvements

• The improvement in NRR to 100% was driven by a strategic change at the beginning of the year to focus account managers specifically on expansion and gross retention (GRR).

• Management expressed high confidence in further NRR increases because the Q2 performance was significantly higher than the trailing 4-quarter average.

Status of delayed large-scale AI deals from previous quarters

• One of the two previously delayed large AI deals remains in the pipeline; management views this as a potential 'nice big surprise' that could close by the end of the year.

Pricing model evolution for AI and data-centric deals

• While the underlying pricing per data set hasn't changed, the total contract values are rising because customers are purchasing access to a much broader variety of data sets for AI ingestion.

• The monetization model is increasingly shifting toward data access and consumption rather than traditional software seats.