nCino, Inc. (NCNO) Stock Analysis and Metrics

nCino

NASDAQ: NCNO

$16.57 ▲ +0.35 (+2.13%)

At close: Jul 24, 2026 · 3:59 PM UTC

Financial Ratios

Market Cap1.83 Bn

P/E188.70

P/S3.08

Div. Yield0.00

ROIC (Qtr)0.00

Total Debt (Qtr)213.50 Mn

Revenue Growth (1y) (Qtr)5.87

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About

nCino, Inc. provides a cloud based software platform that helps financial institutions modernize their core banking operations. The platform integrates data, workflow automation and artificial intelligence to support activities such as account opening, loan origination, customer onboarding, credit monitoring and system integration. nCino operates in the financial technology sector, serving banks, credit unions and other financial service providers worldwide.

nCino generates revenue primarily through subscription fees for access to its platform and related services. The company shifted to an asset based pricing model where fees correlate with the assets of the lines of business that use the platform. In addition to subscriptions, nCino earns revenue from professional services such as implementation, training and ongoing support. The firm also collects fees when it resells underlying Salesforce platform subscriptions to its customers, passing those costs to Salesforce.

nCino holds a leading position in the cloud banking platform market, distinguished by its broad suite of integrated solutions. Unlike point solution vendors or internally built systems, nCino offers a unified platform that spans account opening, lending, onboarding, credit monitoring and AI driven analytics. Its competitive advantages include deep banking domain expertise, a scalable multi tenant architecture built on Salesforce and Amazon Web Services, and a proven track record of serving financial institutions of various sizes. The company also benefits from strong relationships with technology partners such as Salesforce, AWS and various fintech firms, which enhance its ability to deliver innovation and compliance.

nCino serves a diverse customer base that includes global banks, regional and community banks, credit unions, challenger banks and independent mortgage lenders. As of fiscal 2026 the company reported over 2,700 customers, of which approximately 1,500 were depository institutions. Notable customers mentioned in the filing are Wells Fargo, Bank of America, Barclays, Santander, TD Bank, Truist Bank, U. S. Bank, WaFd Bank, Northern Bank, Eastern Bank, Navy Federal Credit Union, Marine Credit Union, Credit Union 1, Conexus Credit Union, Recognise Bank, Judo Bank, Synergy One Lending and Fairway Independent Mortgage Corporation. No single customer accounted for more than ten percent of total revenue in fiscal 2026.

Investment Thesis

▲ Bull case

nCino is experiencing a significant inflection point in AI monetization, as evidenced by the fact that over 200 customers have purchased initial intelligence unit (IU) bundles, with some already exceeding their original allocations. This indicates strong early adoption and customer reliance on AI-driven features like Banking Advisor and Agentic Operating System (AOS), which are not merely experimental but are delivering measurable operational outcomes such as credit analysts achieving ≥60% efficiency in reviews and bankers reclaiming substantial time for revenue-generating activities. The company’s forward-deployed engineering (FDE) teams are actively engaged with customers across diverse profiles—including major U.S. banks, regional institutions, and international clients in EMEA and APAC—to ensure successful implementation and scalability of these AI capabilities. This hands-on approach is accelerating value realization and informing product development, creating a virtuous cycle where real-world usage informs enhancements that drive broader adoption. The fact that IU consumption is inflecting higher month-over-month, with Banking Advisor usage up >38x from October to May, underscores accelerating engagement that is not yet fully reflected in current revenue guidance, suggesting upside potential as customers move beyond initial bundles to expanded AI usage. Management’s deliberate strategy of sizing initial IU bundles to encourage experimentation without fear of overage charges is proving effective, as customers are now organically expanding their usage based on demonstrated value, setting the stage for meaningful expansion revenue in subsequent quarters. This early-stage adoption traction, combined with the company’s unique position as a trusted AI partner in highly regulated banking, positions nCino to capture long-term growth from AI-driven consumption that the market is currently underestimating in its forward-looking models.
nCino’s professional services transformation is delivering structural margin expansion and operational leverage that is underappreciated by the market. The company reported a non-GAAP professional services gross margin of 10% in Q1 FY27, up 1,100 basis points year-over-year, contributing approximately $1 million to non-GAAP operating income. This dramatic improvement stems from AI tooling and methodologies that have compressed professional services hours per engagement by greater than 40%, a direct result of investments made over the past year to enhance delivery efficiency. Beyond margin expansion, this efficiency gain is enabling faster implementations, lower program costs for customers, and improved pipeline conversion rates—benefits that extend beyond the current quarter and are scalable across the customer base. The same AI-driven productivity improvements are also accelerating internal product development cycles, with teams now operating approximately 34% more efficiently and development timelines compressing from over a year to under 90 days. This allows nCino to invest more aggressively in agentic and other AI capabilities while maintaining foundational commitments, creating a sustainable competitive advantage in innovation velocity. The market is likely viewing professional services as a low-margin, reactive cost center, but nCino is transforming it into a high-efficiency, value-driving engine that enhances customer satisfaction, accelerates revenue recognition, and supports long-term growth. This structural shift, rather than a temporary improvement, is underpinning the company’s ability to sustain Rule of 40 performance and reinvest in growth initiatives, a dynamic that is not yet fully priced into the stock.
nCino’s international subscription revenue growth is demonstrating sustained acceleration and geographic diversification that is being overlooked in favor of U.S.-centric narratives. Non-U.S. subscription revenues rose 21% year-over-year (16% in constant currency) in Q1 FY27, outpacing consolidated growth and driven by strength in Continental Europe, Japan, and Southeast Asia. This performance is supported by strategic leadership changes, team restructuring, and expanded data partnerships—particularly in onboarding and full client life cycle management—that are resonating with large financial institutions in these regions. The company’s largest-ever quarter for global gross bookings in the prior quarter directly contributed to strong sequential subscription revenue growth in Q1, indicating that early deal closures under the new platform pricing model are translating into predictable revenue recognition. Management highlighted that international growth is accretive to overall performance and that the sales pipeline and activity levels outside the U.S. remain robust, with the new CRO having already engaged with European teams. Unlike temporary tailwinds, this international expansion reflects structural investments in local presence, regulatory adaptation, and culturally attuned go-to-market strategies that are building a durable foundation for long-term growth. The market may be underestimating the scalability of nCino’s platform in international markets due to historical focus on U.S. mortgage trends, but the company’s deep domain expertise, compliance infrastructure, and AI-enabled workflows are proving transferable and valuable across global banking systems, creating a multi-year runway for international-driven revenue expansion that is not yet fully captured in consensus estimates.

nCino is experiencing a significant inflection point in AI monetization, as evidenced by the fact that over 200 customers have purchased initial intelligence unit (IU) bundles, with some already exceeding their original allocations. This indicates strong early adoption and customer reliance on AI-driven features like Banking Advisor and Agentic Operating System (AOS), which are not merely experimental but are delivering measurable operational outcomes such as credit analysts achieving ≥60% efficiency in reviews and bankers reclaiming substantial time for revenue-generating activities. The company’s forward-deployed engineering (FDE) teams are actively engaged with customers across diverse profiles—including major U.S. banks, regional institutions, and international clients in EMEA and APAC—to ensure successful implementation and scalability of these AI capabilities. This hands-on approach is accelerating value realization and informing product development, creating a virtuous cycle where real-world usage informs enhancements that drive broader adoption. The fact that IU consumption is inflecting higher month-over-month, with Banking Advisor usage up >38x from October to May, underscores accelerating engagement that is not yet fully reflected in current revenue guidance, suggesting upside potential as customers move beyond initial bundles to expanded AI usage. Management’s deliberate strategy of sizing initial IU bundles to encourage experimentation without fear of overage charges is proving effective, as customers are now organically expanding their usage based on demonstrated value, setting the stage for meaningful expansion revenue in subsequent quarters. This early-stage adoption traction, combined with the company’s unique position as a trusted AI partner in highly regulated banking, positions nCino to capture long-term growth from AI-driven consumption that the market is currently underestimating in its forward-looking models.
nCino’s professional services transformation is delivering structural margin expansion and operational leverage that is underappreciated by the market. The company reported a non-GAAP professional services gross margin of 10% in Q1 FY27, up 1,100 basis points year-over-year, contributing approximately $1 million to non-GAAP operating income. This dramatic improvement stems from AI tooling and methodologies that have compressed professional services hours per engagement by greater than 40%, a direct result of investments made over the past year to enhance delivery efficiency. Beyond margin expansion, this efficiency gain is enabling faster implementations, lower program costs for customers, and improved pipeline conversion rates—benefits that extend beyond the current quarter and are scalable across the customer base. The same AI-driven productivity improvements are also accelerating internal product development cycles, with teams now operating approximately 34% more efficiently and development timelines compressing from over a year to under 90 days. This allows nCino to invest more aggressively in agentic and other AI capabilities while maintaining foundational commitments, creating a sustainable competitive advantage in innovation velocity. The market is likely viewing professional services as a low-margin, reactive cost center, but nCino is transforming it into a high-efficiency, value-driving engine that enhances customer satisfaction, accelerates revenue recognition, and supports long-term growth. This structural shift, rather than a temporary improvement, is underpinning the company’s ability to sustain Rule of 40 performance and reinvest in growth initiatives, a dynamic that is not yet fully priced into the stock.
nCino’s international subscription revenue growth is demonstrating sustained acceleration and geographic diversification that is being overlooked in favor of U.S.-centric narratives. Non-U.S. subscription revenues rose 21% year-over-year (16% in constant currency) in Q1 FY27, outpacing consolidated growth and driven by strength in Continental Europe, Japan, and Southeast Asia. This performance is supported by strategic leadership changes, team restructuring, and expanded data partnerships—particularly in onboarding and full client life cycle management—that are resonating with large financial institutions in these regions. The company’s largest-ever quarter for global gross bookings in the prior quarter directly contributed to strong sequential subscription revenue growth in Q1, indicating that early deal closures under the new platform pricing model are translating into predictable revenue recognition. Management highlighted that international growth is accretive to overall performance and that the sales pipeline and activity levels outside the U.S. remain robust, with the new CRO having already engaged with European teams. Unlike temporary tailwinds, this international expansion reflects structural investments in local presence, regulatory adaptation, and culturally attuned go-to-market strategies that are building a durable foundation for long-term growth. The market may be underestimating the scalability of nCino’s platform in international markets due to historical focus on U.S. mortgage trends, but the company’s deep domain expertise, compliance infrastructure, and AI-enabled workflows are proving transferable and valuable across global banking systems, creating a multi-year runway for international-driven revenue expansion that is not yet fully captured in consensus estimates.

▼ Bear case

nCino’s U.S. mortgage subscription revenue growth remains a persistent drag on overall performance, with management guiding for a -2% year-over-year decline in Q2 FY27 due to elevated mortgage rates and a difficult prior-year comparison, and assuming only approximately 1% annual growth for the full fiscal year 2027. This segment, which contributed $19.7 million in Q1 revenues (up just 4% year-over-year), represents a material portion of the business that is highly sensitive to interest rate cycles and refinance activity, which management itself acknowledged is not aligning with current industry data showing higher volumes. The company’s prudent guidance approach—choosing not to extrapolate Q1’s outperformance and instead assuming muted growth—reflects a lack of confidence in a sustained recovery, suggesting that the mortgage business may be facing structural headwinds beyond temporary rate sensitivity. Despite nCino’s broader AI-driven transformation, the mortgage division continues to rely on legacy pricing and usage patterns, with limited evidence of AI penetration or intelligence unit adoption in this specific workflow. The market may be overestimating the offsetting strength from other segments, as the mortgage business’s slow growth could constrain overall subscription revenue acceleration and weigh on investor sentiment, particularly if macroeconomic conditions remain unfavorable for housing activity. This persistent underperformance in a core historical business line poses a risk to the company’s ability to achieve its guided 10% subscription revenue growth target, as any shortfall here would need to be made up by even stronger performance elsewhere in an increasingly competitive environment.
nCino’s reliance on intelligence unit (IU) monetization as a future growth driver carries execution risk, as the company has not yet demonstrated a clear, scalable pricing model for expanded IU consumption beyond initial bundles. While over 200 customers have purchased initial IU bundles and some have exceeded allocations, management’s comments about re-upping bundles were vague, citing discretion, case-by-case negotiations, and potential premium pricing without detailing standardized terms, volume discounts, or automated renewal mechanisms. This lack of transparency raises concerns about pricing power, customer pushback on overage costs, and the potential for slower-than-expected conversion from experimentation to committed, recurring AI spending. Furthermore, the cost structure of IU delivery remains complex, with not all intelligence units requiring large language models (LLMs), but the company still faces variable compute expenses that must be carefully managed to maintain margins. Although nCino claims to be “not too far out over our skis,” the rapid scaling of AI usage—exemplified by Banking Advisor’s >38x usage increase—could strain infrastructure or necessitate costly investments in efficiency improvements if not properly anticipated. The market may be assuming seamless monetization of AI consumption, but the absence of a defined, scalable IU pricing framework and the reliance on bespoke customer conversations for expansion introduce uncertainty about the timing, magnitude, and profitability of this revenue stream, creating a potential gap between optimistic AI narratives and near-term financial results.
nCino’s updated platform pricing model, while progressing with over 40% of annual contract value (ACV) now on the new model, may be encountering adoption friction that is not being fully disclosed, particularly around contract duration, pricing elasticity, and customer pushback during renewal cycles. Management noted that over 40% of ACV has transitioned from the legacy seat-based model to the outcome-based asset-backed pricing model, up from 38% at January-end, but provided no details on renewal rates, churn, or concessions made to facilitate this shift. The asset-based model, while intended to align nCino’s revenue with customer outcomes and enable growth independent of seat counts, could be met with resistance from customers wary of variable costs or uncertain ROI, especially in a tightening economic environment. Although the company characterized early renewals as having “nothing to note” and attributed seasonal patterns to quarterly bookings trends, the lack of specific metrics on renewal success or average contract value per renewal leaves open the possibility that the transition is slowing or requiring costly incentives to maintain momentum. If customers are resisting the shift to outcome-based pricing due to complexity or perceived risk, nCino’s ability to reaccelerate growth on its foundational model—separate from AI opportunities—could be impaired, forcing greater reliance on the unproven IU monetization engine to meet growth targets. This dependency on two simultaneous transitions—pricing model evolution and AI consumption scaling—creates execution risk that the market may be underestimating, particularly if macroeconomic conditions lead to heightened customer scrutiny of technology spending.

nCino’s U.S. mortgage subscription revenue growth remains a persistent drag on overall performance, with management guiding for a -2% year-over-year decline in Q2 FY27 due to elevated mortgage rates and a difficult prior-year comparison, and assuming only approximately 1% annual growth for the full fiscal year 2027. This segment, which contributed $19.7 million in Q1 revenues (up just 4% year-over-year), represents a material portion of the business that is highly sensitive to interest rate cycles and refinance activity, which management itself acknowledged is not aligning with current industry data showing higher volumes. The company’s prudent guidance approach—choosing not to extrapolate Q1’s outperformance and instead assuming muted growth—reflects a lack of confidence in a sustained recovery, suggesting that the mortgage business may be facing structural headwinds beyond temporary rate sensitivity. Despite nCino’s broader AI-driven transformation, the mortgage division continues to rely on legacy pricing and usage patterns, with limited evidence of AI penetration or intelligence unit adoption in this specific workflow. The market may be overestimating the offsetting strength from other segments, as the mortgage business’s slow growth could constrain overall subscription revenue acceleration and weigh on investor sentiment, particularly if macroeconomic conditions remain unfavorable for housing activity. This persistent underperformance in a core historical business line poses a risk to the company’s ability to achieve its guided 10% subscription revenue growth target, as any shortfall here would need to be made up by even stronger performance elsewhere in an increasingly competitive environment.
nCino’s reliance on intelligence unit (IU) monetization as a future growth driver carries execution risk, as the company has not yet demonstrated a clear, scalable pricing model for expanded IU consumption beyond initial bundles. While over 200 customers have purchased initial IU bundles and some have exceeded allocations, management’s comments about re-upping bundles were vague, citing discretion, case-by-case negotiations, and potential premium pricing without detailing standardized terms, volume discounts, or automated renewal mechanisms. This lack of transparency raises concerns about pricing power, customer pushback on overage costs, and the potential for slower-than-expected conversion from experimentation to committed, recurring AI spending. Furthermore, the cost structure of IU delivery remains complex, with not all intelligence units requiring large language models (LLMs), but the company still faces variable compute expenses that must be carefully managed to maintain margins. Although nCino claims to be “not too far out over our skis,” the rapid scaling of AI usage—exemplified by Banking Advisor’s >38x usage increase—could strain infrastructure or necessitate costly investments in efficiency improvements if not properly anticipated. The market may be assuming seamless monetization of AI consumption, but the absence of a defined, scalable IU pricing framework and the reliance on bespoke customer conversations for expansion introduce uncertainty about the timing, magnitude, and profitability of this revenue stream, creating a potential gap between optimistic AI narratives and near-term financial results.
nCino’s updated platform pricing model, while progressing with over 40% of annual contract value (ACV) now on the new model, may be encountering adoption friction that is not being fully disclosed, particularly around contract duration, pricing elasticity, and customer pushback during renewal cycles. Management noted that over 40% of ACV has transitioned from the legacy seat-based model to the outcome-based asset-backed pricing model, up from 38% at January-end, but provided no details on renewal rates, churn, or concessions made to facilitate this shift. The asset-based model, while intended to align nCino’s revenue with customer outcomes and enable growth independent of seat counts, could be met with resistance from customers wary of variable costs or uncertain ROI, especially in a tightening economic environment. Although the company characterized early renewals as having “nothing to note” and attributed seasonal patterns to quarterly bookings trends, the lack of specific metrics on renewal success or average contract value per renewal leaves open the possibility that the transition is slowing or requiring costly incentives to maintain momentum. If customers are resisting the shift to outcome-based pricing due to complexity or perceived risk, nCino’s ability to reaccelerate growth on its foundational model—separate from AI opportunities—could be impaired, forcing greater reliance on the unproven IU monetization engine to meet growth targets. This dependency on two simultaneous transitions—pricing model evolution and AI consumption scaling—creates execution risk that the market may be underestimating, particularly if macroeconomic conditions lead to heightened customer scrutiny of technology spending.

Geographical Breakdown of Revenue (2026)

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Investment Thesis

Geographical Breakdown of Revenue (2026)

Geographical Breakdown of Revenue (2026)

Peer Comparison

Research Tools

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Investment Thesis

Geographical Breakdown of Revenue (2026)

Geographical Breakdown of Revenue (2026)

Peer Comparison

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