nCino, Inc. (NCNO) Q1 2027 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
The earnings call reflects strong financial performance, promising product development, and a strategic market approach, particularly in AI adoption. Despite some unclear management responses, the company's proactive stance on governance and compliance, coupled with promising international growth and customer satisfaction, indicate a positive outlook. The market cap suggests a moderate reaction, aligning with a 'Positive' sentiment.
Key Financial Performance
Total Revenues $159.4 million, an increase of 11% year-over-year. Reasons for change include a record gross bookings performance in Q4 of fiscal '26 and earlier deal closing timing in the fourth quarter.
Subscription Revenues $140.9 million, an increase of 12% year-over-year or 11% in constant currency. Reasons for change include a record gross bookings performance in Q4 of fiscal '26, foreign currency tailwind of approximately $1.3 million, favorability of approximately $500,000 from U.S. mortgage, and approximately $200,000 of execution-based overperformance.
Professional Services Revenues $18.5 million, flat year-over-year. Reasons for no change include the company's focus on measuring progress through professional services gross profit dollars rather than revenues.
Non-U.S. Total Revenues $36.4 million, up 15% year-over-year or 11% in constant currency. Reasons for change include growth in non-U.S. subscription revenues.
Non-U.S. Subscription Revenues $31.3 million, up 21% year-over-year or 16% in constant currency. Reasons for change include increased adoption of services in non-U.S. markets.
Non-GAAP Operating Income $44.5 million or 28% of total revenues, an increase of 79% year-over-year. Reasons for change include improved professional services gross margin, delayed timing of expenses, and subscription revenues overperformance.
Free Cash Flow $80.8 million, up 54% year-over-year. Reasons for change include seasonally high bookings in the fourth quarter of the prior year.
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Operating Highlights
Banking Advisor and Agentic operating system: Unveiled as an intelligent layer orchestrating AI across banking operations. Includes AI agents for roles like loan processing and client engagement. Over 40% of ACV transitioned to the new platform pricing model.
AI Token Bundles (Intelligence Units): Over 200 customers adopted initial bundles for AI tasks. Usage includes simple tasks like chat queries and complex tasks like credit performance monitoring. Consumption of intelligence units increased month-over-month.
Customer Adoption of AI: ConnectOne Bank, a $14 billion institution, adopted Banking Advisor to reclaim half of their team's time for revenue-generating activities. Forward-deploy engineering engagements span various customer sizes, including a $5 billion community bank and a top 4 enterprise bank in the U.S.
Global Expansion: Forward-deploy engineering engagements include customers in EMEA and APAC regions.
Professional Services Efficiency: AI tooling reduced professional services hours per engagement by over 40%, improving gross margins and reducing implementation timelines.
Product Development Efficiency: AI-assisted code writing increased from 21% to 57% year-over-year, compressing development cycles from over a year to under 90 days. Teams operated 34% more efficiently.
AI Strategy: Focused on maximizing adoption of AI features rather than near-term revenue. Strategic goal to drive long-term subscription revenue growth through increased AI feature reliance.
Customer Success Investments: Investments in professional services and AI tooling aim to enhance customer deployment and adoption of AI capabilities.
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Risk or Challenges
Market Conditions: Elevated mortgage rates are suppressing seasonal benefits, leading to a difficult year-over-year comparison for the U.S. mortgage business. This is expected to result in negative 2% year-over-year subscription revenue growth for U.S. mortgage in the second quarter.
Customer Adoption of AI: While some customers are adopting AI capabilities, others are just beginning to experiment. This variability in readiness and enthusiasm could impact the pace of adoption and revenue growth from AI-related offerings.
Economic Uncertainty: Global economic conditions and uncertainties in the financial services industry are highlighted as risks that could impact the company's performance.
Regulatory Compliance: The company operates in a highly regulated industry, and compliance with legal, risk, and regulatory requirements is critical. Any failure in governance or compliance could pose significant risks.
Strategic Execution: The company is focusing on transitioning customers to a new platform pricing model and driving adoption of AI capabilities. Missteps in execution or slower-than-expected adoption could impact financial performance.
Supply Chain and Operational Efficiency: Professional services gross margins have improved, but the company is relying on AI to compress project timelines and reduce costs. Any inefficiencies or failures in these processes could affect profitability.
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Guidance & Outlook
Second Quarter Fiscal '27 Revenue Guidance: Total revenues expected to be $157.75 million to $159.75 million, with subscription revenues of $140.25 million to $142.25 million, representing 7% to 8% year-over-year growth at the midpoint.
Fiscal '27 Annual Revenue Guidance: Total revenues projected to be $642 million to $646 million, up from prior guidance of $639 million to $643 million, representing approximately 8% growth at the midpoint. Subscription revenues expected to be $571.5 million to $575.5 million, up from prior guidance of $569 million to $573 million, representing 10% growth or 9% in constant currency at the midpoint.
U.S. Mortgage Business Outlook: Fiscal '27 assumes annual U.S. mortgage subscription revenues growth of approximately 1%. Second quarter guidance assumes negative 2% year-over-year subscription revenues growth for U.S. mortgage.
Net Additions to ACV for Fiscal '27: Expected to be $60 million to $65 million on a constant currency basis, representing cumulative ACV of $662.5 million to $667.5 million, up 10% over fiscal '26 ending ACV at the midpoint.
Non-GAAP Operating Income Guidance for Fiscal '27: Expected to be $166 million to $171 million, up from prior range of $165 million to $170 million, representing approximately 30% increase over fiscal '26 at the midpoint.
Free Cash Flow Guidance for Fiscal '27: Raised to $135 million to $140 million, up from prior range of $132 million to $137 million. Second quarter expected to contribute a majority of the remaining annual free cash flow.
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Shareholder Return Plan
Share Repurchase Program: In the first quarter, nCino repurchased approximately 6.1 million shares of its outstanding common stock under the December 2025 stock repurchase program and the March 2026 accelerated share repurchase program at an average price of $15.20 per share, totaling $93.1 million. This includes 5.5 million shares received upfront as part of the $100 million ASR program announced in March, with the remaining shares expected to be received in the second quarter. $65 million remains available for future repurchases under the December 2025 stock repurchase program.
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Key Q&A
Q:What is driving the AI efficiencies in the professional services segment, particularly the 40% reduction in engagement per hour costs?
A:The AI efficiencies are driven by the alignment of forward-deploy engineering teams with product development and engineering teams, focusing on the entire software lifecycle. This has enabled faster deployment of solutions like Banking Advisor, reducing deployment time from months to weeks and translating to bottom-line improvements.
Q:How should investors think about mortgage revenues in the context of industry refi volumes and seasonal trends?
A:Mortgage revenues are more aligned with purchase mortgage trends rather than refi trends. The company is taking a prudent guidance approach, extrapolating run rates from April and aiming to surprise on the upside for mortgage revenues.
Q:What evidence is there of customers expanding their intelligence unit allocations and the monetization uplift at renewal?
A:The company has seen its first customers reach the limit of their initial intelligence unit bundles, proving the delivery of outcomes. This indicates potential for monetization by re-upping customers who reach their limits, with confidence in further monetization by year-end.
Q:Are there differences in AI adoption and monetization dynamics between U.S. and international markets?
A:While the problems solved by AI are similar globally, there are cultural and regulatory nuances in different geographies. The company has a global PDE team with local presence to address these nuances, ensuring compliance and governance.
Q:What is the state of demand in U.S. commercial banking, and how are customers adopting AI?
A:Demand in U.S. commercial banking remains strong, with opportunities for expansion and new logos. Banks are appointing AI leadership roles to work with commercial lending leaders, ensuring governance and compliance in AI adoption.
Q:How is Banking Advisor contributing to the business, and what is the revenue opportunity?
A:Banking Advisor usage has increased significantly, with customers exceeding usage limits. While there is no revenue from this in the current year's model, the focus is on adoption, which is expected to contribute to long-term subscription revenue growth.
Q:What are the measurable ROIs from early adopters of Banking Advisor, and how are these outcomes being replicated?
A:Early adopters report significant efficiency gains, such as saving 1,000 hours per employee and 60% efficiency in credit reviews. These outcomes are being replicated through forward-deploy engineering teams and partnerships with system integrators.
Q:What is the outlook for credit unions in terms of platform adoption and revenue contribution?
A:Credit unions are adopting broader platform solutions, with the company integrating portfolio analytics into the platform. This segment is contributing to revenue growth through smaller, consistent deals.
Q:What are the priorities and contributions of the new Chief Revenue Officer?
A:The new CRO is focusing on revenue growth, enhancing the partner ecosystem, and leveraging hyperscaler relationships. He is also improving technical presales efficiency and has been actively engaging with global teams.
Q:How is the company managing the cost of tokens as AI adoption grows?
A:The company is monitoring token consumption closely and calibrating costs. Not all intelligence units require large language models (LLMs), and the company uses its own models and analytics to manage costs effectively.
Q:How does the urgency and pace of AI adoption compare to the adoption of cloud solutions?
A:AI adoption faces similar challenges as cloud adoption, such as security, scalability, and compliance concerns. However, there is a greater urgency due to the potential for first-mover advantages and the risk of falling behind.
Q:What is the competitive landscape for AI solutions in financial services?
A:The company faces competition from point solutions but has a unique advantage with its platform approach, offering integrated solutions across lines of business and geographies.
Q:What are the concerns and guardrails financial institutions have regarding AI adoption?
A:Financial institutions are focused on governance, security, and compliance. They prefer working with trusted partners like nCino to ensure adherence to internal policies and avoid risks like hallucinations in AI outputs.
Q:How are customers consuming intelligence units, and what strategies are in place to increase adoption?
A:Customers with proactive leadership and a focus on change management are consuming more intelligence units. The company is engaging with these customers through forward-deploy engineering teams to drive adoption.
Q:What is the international growth outlook, and what are the key drivers?
A:International growth is strong, driven by performance in Continental Europe, Japan, and Southeast Asia. The company is expanding data partnerships and focusing on onboarding and client lifecycle management.
Q:What is the strategy for integrating third-party agents into the platform?
A:The company plans to allow third-party and bank-run agents to integrate with its platform, enabling a governance framework for both nCino and external agents.
Q:What were the key takeaways from the nSight conference?
A:The conference saw record attendance, including 10% prospects, and highlighted strong customer satisfaction and pipeline momentum. The event reinforced the company's focus on fulfilling commitments while innovating.
Q:Review of Unclear Management Responses
A:Management avoided providing specific details on the cost structure of tokens and intelligence units, as well as the exact monetization uplift from AI adoption. Additionally, there was a lack of clarity on the competitive dynamics with new AI-native players and the specific strategies to address them.
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Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
AI banking
AI beneficiary
AI capability
AI technology
Agentic
Banking Advisor
ConnectOne
agent
bundle intelligence
code
community bank
compliance
compute
credit
customer relationship
deploy
development
domain
end
engagement
engineering
institution
intelligence unit
loan
mission
month
nSight
outcome
partner
platform
portfolio
product
purpose
record
task
usage
user
workflow
world
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The earnings call reflects strong financial performance, promising product development, and a strategic market approach, particularly in AI adoption. Despite some unclear management responses, the company's proactive stance on governance and compliance, coupled with promising international growth and customer satisfaction, indicate a positive outlook. The market cap suggests a moderate reaction, aligning with a 'Positive' sentiment.
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