BlackLine, Inc. (BL) Earnings

Management highlights

### Strategic AI and Platform Direction - Blackline’s core strategic focus is agentic financial operations, which combines AI automation with mandatory governance and auditability to address the gap between widespread projected AI adoption and lack of governance controls for CFO offices. Gartner projects Fortune 500 companies will run over 150,000 AI agents by 2028, while fewer than 1 in 5 companies have governance to manage this scale. - Studio 360, Blackline’s platform layer for the CFO office, was updated to add the Finance Control Console, which requires all AI agents to be registered, Blackline-certified, and operate within an immutable policy layer that cannot be overridden, creating an unalterable audit trail for all financial close activities. - Blackline expects to earn AIUC-1 third-party security certification for AI agents in September 2026, and the company helped develop the standard as a founding consortium member. ### AI Product Adoption and Development - 90% of eligible Blackline customers are AI-enabled, with 77% (roughly 3,000 customers) actively using AI in financial operations; AI feature usage hit nearly 13 million actions in Q2, up 220% sequentially. - Key Verity AI agent offerings have strong early traction: Verity Accruals has won deals across all customer tiers, including a multi-billion dollar U.S. hospital system, a global consumer tech company, and a leading cybersecurity firm, with early customers reporting up to 3-day faster close and 80% less time spent on accruals work. Verity Prepare customer count grew 4x quarter-over-quarter, delivering up to 94% reduction in preparation time. Verity Remit is on track for general availability in Q3 2026, with Verity Collect launching in Q4 2026, and Verity Match expected to reach general availability soon. - The WiseLayer acquisition is exceeding early expectations, with its team accelerating agent development and enabling integration of complex judgment-based agent capabilities with Blackline’s existing mature control infrastructure, and the pipeline for WiseLayer-enabled offerings grew strongly in Q2. ### Sales and Deal Dynamics - Customer AI evaluations have elongated enterprise deal cycles by an average of 40-45 days compared to historical averages, driven by additional security, governance, data sovereignty, and risk reviews that bring more cross-functional stakeholders into the sales process. Approximately $8 million in expected Q2 deals slipped to later quarters, half of which have already closed. - New deal sizes are up 24% YoY, 90% of net new business lands directly on unlimited-user platform pricing, and multi-year commitments made up 56% of Q2 renewal volume (up from 45% YoY). Build-versus-buy assessments are increasingly resulting in customer selection of Blackline over in-house development, as customers recognize the difficulty of building required governance frameworks from scratch. ### Go-to-Market and Partnership Progress - Key enterprise wins in Q2 include new customers Vodafone and a leading global market data platform, plus expansions with Royal Dutch Shell and other large global enterprises; two of the largest six U.S. banks closed long-term seven-figure deals after quarter end. The public sector segment has strong progress with multiple new deals and proofs of concept with civilian and defense agencies. - Blackline’s large system integrator partners (Accenture, Capgemini, Deloitte, EY, KPMG) delivered record practice revenue in 2026, as they prioritize building practices on Blackline’s governance layer rather than building competing solutions. The SAP relationship is deepening, with two key milestones expected in Q3: enabling platform pricing for SOLEX customers and SAP premium qualification for Verity Accruals and Verity Prepare. ### Mid-Market and Existing Customer Adoption - Lower mid-market churn is tracking as expected, and is projected to dissipate by the end of 2026. Blackline is refreshing mid-market packaging and pricing to align with segment buying patterns, with lower implementation overhead for faster time to value. Existing customer platform conversion generally aligns with renewal cycles, as many customers wait for additional product proof points before converting, and adoption is accelerating as new agent capabilities launch.

Guidance

- Full-year 2026 total GAAP revenue guidance is maintained at $765 to $769 million, representing 9.2% to 9.8% YoY growth, which still implies exit-year double-digit growth after absorbing incremental FX headwinds. - Q3 2026 total GAAP revenue guidance is set at $193 to $195 million, representing 8.3% to 9.4% YoY growth. Non-GAAP operating margin for Q3 is guided to 24.5% to 25.5%, with non-GAAP net income of $45 to $47 million, or $0.62 to $0.65 diluted EPS. - Full-year 2026 non-GAAP operating margin is guided to 24.1% to 24.6%, with non-GAAP net income of $177 to $182 million, or $2.47 to $2.54 diluted EPS. - Full-year 2026 free cash flow growth is expected to be approximately 20%, with stronger free cash flow margins projected for the second half of the year. Outside of M&A, Blackline expects to allocate 100% of full-year free cash flow to share repurchases. - FX headwind for full-year 2026 is now projected at approximately $2 to $3 million (up from the prior projection of $1 to $2 million), with the incremental headwind concentrated in the second half of the year. - Management expects platform conversion and AI agent adoption to add at least 2 percentage points of incremental revenue growth in 2027, with further acceleration from the contracted backlog.

Segment performance

Blackline reports revenue by customer segment and channel, with no formal product segment breakdown provided in the transcript. Total Q2 2026 revenue was $187.8 million, up 9.2% YoY: subscription revenue grew 9% YoY, and professional services revenue grew 11% YoY. The SAP SOLEX channel contributed 26% of total revenue. ARR grew to $719 million, up 6% YoY (7% excluding FX headwind). Platform ARR as a percentage of eligible ARR reached 17% (up from 13% last quarter), with the mega enterprise segment hitting 21% platform adoption, exceeding the overall average. Total RPO grew 17% YoY to over $1.1 billion, and current RPO (revenue to be recognized over 12 months) grew 11% YoY. Non-GAAP operating margin came in at 23.3% (up 120 bps YoY), non-GAAP gross margin was 80.4%, with non-GAAP subscription gross margin at 83%. Free cash flow was $36.5 million, and enterprise revenue renewal rate is 95% YoY. Dollar-based net revenue retention was 102.4% (104% adjusted for FX).

Risks & headwinds

- elongated enterprise deal cycles driven by customer AI and governance evaluations have resulted in deal slippage, creating near-term revenue volatility and pressure on near-term growth rates. - Foreign exchange headwinds have increased compared to earlier 2026 projections, creating incremental pressure on full-year revenue results. - Many global regulators have not yet finalized AI guidance for critical financial processes, creating uncertainty for customer decision-making and extending review timelines. - Existing customers may delay platform conversion until additional AI product proof points are available, leading to slower near-term organic expansion than historical levels. - Geopolitical disruption in the Middle East has slowed market progress, though management still views the market as attractive long-term. - The unlimited-user platform pricing model has reduced near-term organic expansion from user adds, creating a drag on near-term revenue growth until platform and AI adoption scales enough to offset this effect. - Customers face competing internal technology priorities that can delay adoption of Blackline’s new platform and AI offerings.

Analyst Q&A

• Q: What steps is Blackline taking to speed up AI adoption, and how much longer are current deal cycles than historical averages? /

  A: Management is engaging all key stakeholders (customers, audit firms, regulators, standards setters, partners) to demonstrate Blackline’s transparent “glass box” AI governance model that enables full auditability and human-in-the-loop control, building confidence for approval. Historically, enterprise deal cycles ran 9-12 months; they are now elongated by an average of 40-45 days, driven by new questions around AI governance, data sovereignty, and security. Management notes this is a temporary learning period, and the sales team is now equipped with pre-built responses to common questions to shorten timelines over time.

• Q: What gives management confidence that deal delays will stabilize, and how is top-of-funnel pipeline trending? /

  A: Half of all deals that slipped out of Q2 have already closed, and the window between slippage and close is shortening as the sales team gets better at addressing common customer questions. The pipeline is the most robust in company history, skewed toward larger mega-enterprise and enterprise deals globally. The trend of customers attempting to build AI governance in-house has cooled dramatically, and more customers are selecting Blackline’s pre-built governed framework in build-versus-buy assessments, supporting back-half closing confidence.

• Q: What pushback does Blackline see from existing long-term customers considering platform conversion, and are there increased tensions like renewed RFPs? /

  A: Customers are not issuing new RFPs, so there is no broad competitive displacement risk. The most common pushback is a request for additional product proof points and peer references before committing to conversion. Some customers also delay conversion to align with their own internal technology priority roadmaps. Existing customer adoption acceleration is tracking exactly to plan, and management remains confident of hitting the full-year 25% eligible ARR platform adoption target, with adoption accelerating as new agent products launch.

• Q: What is sovereign cloud, and how much demand exists for this capability? /

  A: Sovereign cloud deployments ensure customer data never leaves national borders to meet data sovereignty compliance requirements, similar to FedRAMP for the U.S. public sector but for other countries and regulated industries. Demand has grown significantly due to increasing geopolitical tension and AI-related data requirements, with many regulated organizations now requiring this capability. Blackline’s model-agnostic AI architecture also supports customer requirements to control where AI model processing occurs to meet local rules.