Autodesk, Inc. (ADSK) Earnings
Autodesk, Inc. is expected to report next earnings on August 27, 2026 (in NaN days), with a consensus EPS estimate of $3.12. ADSK has beaten EPS estimates in 11 of its last 12 reported quarters (average surprise +6.4% over the last four).
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| May 28, 2026 | $2.84 | $2.99 | +5.3% | $1.9B | +2.1% |
| Nov 25, 2025 | $2.50 | $2.67 | +6.8% | $1.9B | +2.5% |
| Aug 28, 2025 | $2.45 | $2.62 | +6.9% | $1.8B | +2.2% |
| May 22, 2025 | $2.15 | $2.29 | +6.5% | $1.6B | +1.1% |
| Feb 27, 2025 | $2.14 | $2.29 | +7.0% | $1.6B | +0.4% |
| Nov 26, 2024 | $2.12 | $2.17 | +2.4% | $1.6B | +0.5% |
| Aug 29, 2024 | $2.00 | $2.15 | +7.5% | $1.5B | +1.5% |
| Jun 11, 2024 | $1.80 | $1.87 | +3.9% | $1.4B | +1.2% |
| Feb 29, 2024 | $1.95 | $2.09 | +7.2% | $1.5B | +2.6% |
| Nov 21, 2023 | $1.99 | $2.07 | +4.0% | $1.4B | +2.1% |
| Aug 23, 2023 | $1.72 | $1.91 | +11.0% | $1.3B | +1.9% |
| May 25, 2023 | $1.55 | $1.55 | +0.0% | $1.3B | +0.0% |
Source: company filings + earnings calendar. For informational purposes only — not investment advice.
Earnings call summary
Q1 FY2027 · May 28, 2026
AI summary of management’s prepared remarks and analyst Q&A. For informational purposes only — not investment advice.
Management highlights
- Strategic Direction * The company is repositioning from just the Amber Premium crypto distribution platform to an agentic fintech infrastructure provider for the emerging agentic economy, aligned with its founding thesis that crypto and AI will converge to redefine finance * The long-term vision is to become the foundational financial layer for the agentic economy, under the "Crypto for AI (C for AI)" framework that positions crypto as the core economic infrastructure for AI agent activity * Management intends to deliver three A-suite flagship agent-native operating system products to market in 2026 - Product Innovation * Launched A-Suite, an agent-native operating system that abstracts the complexity of digital asset financial services to enable full automation by AI agents, comparable to how AWS abstracted server infrastructure for web development * Launched AMM (Agentic Market Making), the first A-suite product, an agent-native liquidity operating system and designated market-making infrastructure for token projects at the end of March 2026. AMM standardizes manual, bilateral market-making workflows to enable scalable, transparent operations, with strong early interest from token projects during its soft launch * AI agent capabilities are being integrated into all existing businesses; the in-house AI agent Mia has been embedded into iClick's core workflows, driving meaningful operating cost reduction in Q1 2026 - Regulatory Progress * The company has secured a VARA license in Dubai, and is making steady progress on its virtual asset service provider application in Hong Kong * A strengthened regulatory foundation is prioritized to support growing institutional demand for digital asset services amid evolving global regulatory frameworks - Capital Allocation * Management continued opportunistic share repurchases under the $150 million program announced in November 2025, repurchasing approximately 2 million ADS in Q1 2026. $45.5 million remained available for repurchases as of March 31, 2026, providing flexibility for both capital return and growth investment - Core Business Updates * The company streamlined low-engagement client accounts to align with new regulatory requirements, with minimal impact on total platform assets; average assets per active client remained stable at $1.2 million * The company is seeing growing institutional demand for tokenized real-world assets, on-chain strategies, and customized structured products, which supports deeper client engagement and higher quality revenue mix over time
Guidance
- The company provided preliminary Q2 2026 revenue guidance for the Amber Premium segment of $9 million to $10 million, which represents a 58.1% to 75.7% quarter-over-quarter increase from Q1 2026 Amber Premium revenue of $5.7 million - Management expects AMM, the newly launched first A-suite product, to begin contributing meaningful revenue starting in Q2 2026, with revenue scaling through the remainder of the year - The company expects internal AI adoption to continue driving compounding operating efficiency and unit economic improvement across all business segments throughout 2026 - Long-term guidance expects higher operating margins and improved balance sheet capital efficiency as agentic fintech products scale
Segment performance
Consolidated total Q1 2026 revenue was $10 million, down from $14.5 million in Q1 2025 and $16.3 million in Q4 2025. Gross profit was $6.8 million with a 67.7% gross margin, while operating loss was $3.2 million and adjusted EBITDA loss was $3.2 million. For the Amber Premium segment: - Wealth Management Solutions: $4.3 million revenue, accounting for 74.8% of Amber Premium segment revenue - Execution Solutions: $0.9 million revenue - Payment Solutions: $0.6 million revenue Total Amber Premium segment Q1 2026 revenue was $5.7 million. - iClick Marketing and Enterprise Solutions: $4.3 million revenue
Risks & headwinds
- The company operates in the volatile crypto industry, and continued industry downtrend and softer market conditions negatively impacted Q1 2026 revenue and transaction volumes, with broader market cycles expected to continue impacting short-term activity - Forward-looking statements about agentic product growth and revenue contributions are subject to inherent risks and uncertainties that could cause actual results to differ materially from expectations, as noted in the company's SEC filings - The company faces ongoing regulatory uncertainty across jurisdictions, requiring ongoing proactive adjustments to business and client structures to align with evolving rules
Analyst Q&A
Q: Two years from now, what will the business look like, and will shifting to agent-native systems create a more scalable, software-like business model? /
A: Management states that in two years, AMBER will have transitioned from a profitable digital wealth platform to a crypto-enabled agentic fintech, with its A-suite agent-native operating systems becoming the shared financial infrastructure for the agent economy, used by both internal and external platforms. The business model differs from traditional software: instead of selling tools that clients operate themselves, AMBER sells end-to-end, result-driven agentic capabilities, which management believes is more scalable and will be a new model public market investors will gradually understand.
Q: Why is the company pivoting to AI, what has AMM delivered to date, and when will A-suite generate meaningful revenue? /
A: Management clarifies this is not a pivot: AMBER was founded as Amber AI, and the convergence of crypto and AI has been part of the company's DNA since inception. AMM launched at the end of March 2026 and is already generating small amounts of revenue; management expects meaningful revenue contributions starting in Q2 2026, with recurring sticky revenue from multi-year client agreements that will scale as clients add additional services.
Q: How will the AI strategy impact margins, cash flow, and balance sheet efficiency over time? /
A: AI is already reducing operating expenses for the iClick business segment today. The AMM product converts traditionally bespoke liquidity provision into a streamlined, agent-operated business, which will improve margins and scalability. Long term, management expects higher capital efficiency from agentic AI services, leading to improved operating margins and better balance sheet efficiency that will become visible in coming quarters.
Q: What LLMs power AMBER's AI solutions, and are there proprietary components to the agentic infrastructure? /
A: AMBER uses a hybrid approach, integrating leading private and open-source LLMs, with in-house fine-tuning of smaller open-source models for specific workflow use cases. The company's core proprietary advantage is in building vertical-specific agentic infrastructure for digital asset financial services, including custom workflows and domain-specific training data, rather than competing on general-purpose large language models.