nCino, Inc.

nCino, Inc. (NCNO) Market Cap

nCino, Inc. has a market capitalization of .

No quote data available.

CEO: Sean Desmond

Sector: Technology

Industry: Software - Application

IPO Date: 2020-07-14

Website: https://www.ncino.com

nCino, Inc. (NCNO) - Company Information

Market Cap: -|Sector: Technology

Company Profile

nCino, Inc., a software-as-a-service company, provides cloud-based software applications to financial institutions in the United States and internationally. Its nCino Bank Operating System, a tenant cloud platform, which digitizes, automates, and streamlines complex processes and workflow; and utilizes data analytics and artificial intelligence and machine learning (AI/ML) to enable banks and credit unions to onboard new clients, make loans and manage the entire loan life cycle, open deposit and other accounts, and manage regulatory compliance. The company's nCino IQ, an application suite that utilizes data analytics and AI/ML to provide its customers with automation and insights into their operations, such as tools for analyzing, measuring, and managing credit risk, as well as to enhance their ability to comply with regulatory requirements. It also offers SimpleNexus, a suite of products that enables loan officers, borrowers, real estate agents, settlement agents, and others to engage in the homeownership process from internet-enabled device. The company serves financial institution customers, including global financial institutions, enterprise banks, regional banks, community banks, credit unions, new market entrants, and independent mortgage banks through sales team comprising business development representatives, account executives, field sales engineers, and customer success managers. nCino, Inc. was founded in 2011 and is headquartered in Wilmington, North Carolina.

Analyst Sentiment

79%
Strong Buy

From 16 Active Polls

1Y Forecast: $30.33

▲ +0.0% Potential Upside

Consensus Target Metrics

Low Bound

$21

Median

$34

High Bound

$36

Average

$30

Price & Moving Averages

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🎯 Wall Street Analyst Intelligence Report

1-Year structural target targets, chart projections, and sentiment maps.

Average 1Y Target
$30.33
▲ +103.28% Upside
Low Target
$21.00
41% Risk
Median Target
$34.00
128% Mid
High Target
$36.00
141% Max

Consensus Trend Projection

Trailing closures vs. 12-month metrics map.

Analyst Vote Distribution

Aggregate institutional coverage sentiment weights.

Sentiment volume allocation data unavailable.

Historical valuation matrix unavailable.

📘 Full Research Report

ℹ️

AI-Generated Research: This report is for informational purposes only.

📘 NCINO INC (NCNO) — Investment Overview

🧩 Business Model Overview

NCINO provides a cloud-native “banking operating system” that digitizes and standardizes how financial institutions originate, manage, and service customer lending and related account workflows. The platform sits between customer-facing front ends (sales/relationship management) and bank back-office systems (core banking, credit systems, document management, and case/workflow tooling).

Operationally, NCINO supports configurable workflows for processes such as lead-to-loan and approval-to-disbursement, capturing structured data and audit trails while orchestrating tasks across teams. Implementation typically blends software deployment with process mapping, configuration, data integrations, and ongoing administration—driving stickiness once the platform becomes embedded in day-to-day operating procedures.

💰 Revenue Streams & Monetisation Model

  • Subscription software revenue (primary): Recurring fees tied to customer usage and deployment footprint (e.g., user/workflow access and module selection). This portion typically carries the core margin profile characteristic of SaaS.
  • Professional services / implementation (secondary): Fees for configuration, integrations, onboarding, and change management. These revenues tend to be less recurring and can be lumpy across the customer lifecycle.
  • Ongoing platform expansion: Additional modules, workflow coverage, and enterprise enablement generally monetize the platform’s installed base over time.

Margin drivers center on (1) software mix versus services, (2) scale benefits as implementation playbooks mature across customers, and (3) operating leverage from recurring revenue supporting fixed cost absorption.

🧠 Competitive Advantages & Market Positioning

NCINO’s moat is primarily rooted in high switching costs created by process and data gravity. The platform becomes deeply woven into a bank’s operating model through workflow configuration, role-based permissions, credit/document handling, integration patterns, and compliance/audit trails. Migrating away typically requires re-implementing those operational workflows, re-integrating systems, re-training staff, and re-establishing governance—making replacement costly and operationally disruptive.

Additionally, NCINO’s approach emphasizes workflow-specific depth for lending and account processes, which reduces the need for banks to stitch together multiple point solutions for end-to-end execution.

  • Salesforce (Financial Services Cloud) — Broader CRM-centric platform; strength lies in relationship management and configurable enterprise workflows, but NCINO differentiates via specialized, banking-operations workflow depth for lending execution.
  • FIS / Fiserv / Jack Henry (digital banking + LOS-adjacent capabilities) — Often tied to broader core/digital ecosystems and bundled offerings; NCINO targets customers seeking a cloud-native layer for workflow orchestration and faster process modernization.
  • Temenos — Core banking and banking suites with significant enterprise scope; NCINO positions more narrowly around operating workflows to drive quicker adoption within established bank infrastructures.

Against these rivals, NCINO’s industry focus centers on digitizing lending and related banking operations as a workflow layer, aiming to reduce implementation friction and accelerate time-to-value while sustaining long-term retention through operational embedding.

🚀 Multi-Year Growth Drivers

  • Digitization of commercial and mid-market lending: Banks continue modernizing loan origination and credit workflow processes to improve speed, consistency, and auditability.
  • Cloud migration and modernization budgets: Increasing pressure to move operational workloads to cloud architectures supports platform replacement or augmentation.
  • Operational efficiency and risk governance: Standardized workflows, structured data capture, and traceability support compliance and reduce process variability.
  • Expansion within the installed base: Additional modules, additional lines of business, and broader user enablement monetize the initial workflow footprint.
  • Partner-enabled delivery: A growing ecosystem of implementation and service partners can improve coverage and reduce bottlenecks in deployment capacity.

Over a 5–10 year horizon, total addressable market expansion is supported by continued replacement of legacy manual or fragmented workflow systems and by increasing “front-to-back” process integration expectations in banking technology.

⚠ Risk Factors to Monitor

  • Sales cycle length and implementation complexity: Bank technology purchases often require extensive stakeholder alignment, integrations, and governance, which can extend timelines and affect revenue visibility.
  • Competitive substitution risk: CRM platforms and core banking vendors can offer overlapping workflow capabilities, increasing pricing pressure or reducing net new adoption.
  • Customer concentration and renewal behavior: Larger deployments and renewal decisions can disproportionately influence near-term operating performance in any given period.
  • Security, privacy, and regulatory compliance: Banks impose stringent requirements; failures in controls, data handling, or audit functionality can lead to implementation delays or reputational damage.
  • Integration and change-management execution: The value proposition depends on correct mapping of bank processes and robust system interoperability. Under-delivery can impair retention.

📊 Valuation & Market View

Equity markets typically value SaaS and platform businesses using metrics tied to (1) recurring revenue quality, (2) growth durability, and (3) operating leverage potential. Common valuation frameworks include:

  • EV/Revenue or EV/ARR: Driven by subscription growth rates, remaining growth runway, and customer retention/expansion dynamics.
  • EV/Operating Profit (when profitability scales): As operating margins expand, the market can shift emphasis toward sustainable margin structure and cash generation.
  • Net retention and cohort durability: The “installed base” expansion profile is a primary determinant of how much future growth the market credits.

Key valuation sensitivities usually include subscription growth, customer renewals, mix shift toward software, and the efficiency of sales and services delivery that supports scalable recurring revenue.

🔍 Investment Takeaway

NCINO’s long-term investment appeal rests on a structurally sticky enterprise software profile: banks embed the platform into lending workflows and governance processes, creating high switching costs through operational integration and data/workflow gravity. With digitization and cloud modernization continuing across commercial banking, NCINO is positioned to capture incremental workflow modernization demand while monetizing the installed base through module expansion—provided execution quality, competitive differentiation, and renewal performance remain intact.


⚠ AI-generated — informational only. Validate using filings before investing.

📊 AI Financial Analysis

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Earnings Data: Q Ending 2026-04-30

"NCNO reported Q1’27 (ended 2026-04-30) revenue of $159.4M and net income of $13.6M (EPS $0.13). On a YoY basis, revenue rose from $144.1M (Q1’26) to $159.4M (+10.6%), and net income improved from $5.6M to $13.6M (+145.2%). QoQ, revenue increased from $149.7M in Q4’26 to $159.4M (+6.5%), while net income rose from $8.3M to $13.6M (+63.6%). Profitability improved meaningfully: net margin expanded to 8.6% from 5.6% QoQ and 3.9% YoY. Gross margin also strengthened to 63.3% from 61.4% QoQ, supporting the operating and below-the-line improvement. The company generated $81.4M of operating cash flow and $80.8M of free cash flow in the quarter, a strong cash conversion profile. Balance sheet resilience appears mixed: total assets declined to $1.61B QoQ, while equity remained strong at $0.98B. However, leverage is difficult to interpret due to a very large goodwill/intangibles balance and shrinking reported retained earnings. Shareholder returns are currently weak: the stock is down ~22.8% over 1 year and shows no dividend yield (0%), so total return is dominated by capital depreciation. Price momentum is not supportive versus higher 1-year momentum names."

Revenue Growth

Positive

Revenue grew +10.6% YoY (Q1’26 $144.1M to Q1’27 $159.4M) and +6.5% QoQ (Q4’26 $149.7M to $159.4M), indicating an improving top-line trend.

Profitability

Good

Net income rose +145.2% YoY and +63.6% QoQ; net margin expanded to 8.6% from 5.6% QoQ and 3.9% YoY. Gross margin also improved QoQ (63.3% vs 61.4%).

Cash Flow Quality

Good

Strong cash generation: operating cash flow was $81.4M and free cash flow $80.8M in Q1’27. No dividends paid; buybacks are notable (-$110.1M repurchased).

Leverage & Balance Sheet

Caution

Total assets fell QoQ (to $1.61B), but equity remains sizable at ~$0.98B. Reported retained earnings are still deeply negative, and the balance sheet is heavily weighted toward goodwill/intangibles, making resilience interpretation more nuanced.

Shareholder Returns

Neutral

Dividend yield is 0%. Stock performance is negative with 1Y change of -22.83%, so total shareholder return has been hurt despite buybacks and improving fundamentals.

Analyst Sentiment & Valuation

Caution

Consensus price target is $29.5 vs current ~$18.46, implying upside on targets; however, the trailing market performance is weak (negative 1Y/6M/YTD), suggesting sentiment is cautious.

Disclaimer:This analysis is AI-generated for informational purposes only. Accuracy is not guaranteed and this does not constitute financial advice.

Fundamentals Overview

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nCino delivered a strong Q1 with total revenues of $159.4M (+11% YoY) and subscription revenues of $140.9M (+12% YoY). Profitability improved sharply: non-GAAP operating income rose to $44.5M (+79% YoY) and professional services gross margin improved to 10% (+110 bps). Management highlighted AI-driven execution: professional services hours per engagement down >40%, development cycles compressed to <90 days, and banking adviser usage up >38x in May vs October. Commercial monetization is shifting toward outcome-based platform pricing, with >40% of ACV already transitioned, and customers (e.g., ConnectOne) starting banking adviser rollouts. The key offset is US Mortgage: elevated rates suppressed the seasonal benefit, leading to -2% YoY US Mortgage subscription guidance in Q2. Full-year guidance was raised across revenues, non-GAAP operating income ($166M–$171M), and free cash flow ($135M–$140M), while management remained prudent about baking intelligence unit upside into fiscal 27. Overall: momentum is real, but mortgage rates remain the main near-term swing factor.

AI IconGrowth Catalysts

  • Subscription revenues acceleration: up 12% YoY (and 11% constant currency); sequential dollar increase of ~$7.5M aided by Q4 fiscal 26 deal closing timing and straight-line revenue recognition under the new pricing model
  • AI platform pricing model adoption: >40% of ACV transitioned to outcome-based platform pricing by end of Q1
  • Intel/usage-based expansion signal: Banking adviser intelligence unit usage up >38x in May vs October (month-over-month inflection continuing into Q1 close)
  • Professional services implementation methodology using AI: professional services hours per engagement down >40% (translating to gross margin improvement)

Business Development

  • ConnectOne (CEO Frank Sorrentino): contracted for first intelligence unit bundle; began banking adviser rollout in Q4 fiscal 26; referenced plan to reclaim half of team time for revenue-generating activities
  • Forward Deployed engineering engagements spanning customer types including: $5B community bank, ~$80B regional bank, and a top-4 U.S. enterprise bank (no names provided)
  • Mentioned but not specified: “5 core digital partners” tied to IU value proposition (partners not named in transcript)

AI IconFinancial Highlights

  • Total revenues: $159.4M (+11% YoY)
  • Subscription revenues: $140.9M (+12% YoY; +11% constant currency)
  • Non-GAAP operating income: $44.5M, 28% of total revenues (+79% YoY)
  • Non-GAAP professional services gross margin: improved to 10%, up 1.1 thousand bps YoY (implies +110 bps)
  • Non-GAAP operating income outperformance drivers: subscription revenue overperformance plus delayed expense timing (~$1.7M) expected to incur later in the year; additional ~$0.5M-ish noted in subscription overperformance breakdown (execution-based overperformance ~$0.2M; FX tailwind ~ $1.3M favorability US mortgage + ~$0.2M other execution-based overperformance)
  • Free cash flow: $80.8M (+54% YoY)
  • Share repurchases: ~$93.1M total in Q1 at avg $15.2/shares, including ~$100M ASR announced in March (5.5M upfront shares received); remaining ASR shares expected in Q2
  • Q2 fiscal 27 guidance: total revenues $157.75M–$159.75M; subscription revenues $140.25M–$142.25M (7%–8% YoY at midpoint)
  • Q2 US Mortgage subscription guidance: -2% YoY (driven by elevated mortgage rates suppressing the seasonal benefit vs Q2 fiscal 26)
  • Fiscal 27 updated guidance: total revenues $642M–$646M (raised from $639M–$643M); subscription revenues $571.5M–$575.5M (raised from $569M–$573M); non-GAAP operating income $166M–$171M (raised from $165M–$170M); free cash flow $135M–$140M (raised from $132M–$137M)

AI IconCapital Funding

  • Q1 share repurchases: ~6.1M shares repurchased totaling $93.1M; includes 5.5M upfront shares from $100M ASR; remaining ASR shares expected in Q2
  • $65M remains available for future repurchases under the December 2025 stock repurchase program
  • FCF generation: $80.8M in Q1 (+54% YoY)
  • No explicit debt/cash runway disclosures present in transcript

AI IconStrategy & Ops

  • Banking adviser rollout velocity: deployed in weeks vs months (as described by management as an AI efficiency outcome through forward deploy engineering)
  • Software/product development cycle compression: estimated development cycles reduced to <90 days; teams operating ~34% more efficiently using AI over the past year
  • AI coding assistance penetration: ~21% of code written with AI assistance in Q1 fiscal 26 rising to ~57% by Q1 fiscal 27
  • AI agentic operating system: “Banking adviser” and “Agentic operating system (AOS)” unveiled at Insight ~2 weeks prior; described as an embedded orchestration platform (not a single chatbot)
  • Customer AI monetization approach: customers must adopt new platform pricing model; near-term strategic goal to maximize AI adoption via sized intelligence unit bundles (~1 year average bundle life per customer)

AI IconMarket Outlook

  • Q2 fiscal 27: total revenues $157.75M–$159.75M; subscription revenues $140.25M–$142.25M
  • Q2 fiscal 27 US Mortgage subscription revenues: -2% YoY
  • Fiscal 27 net additions to ACV: $60M–$65M constant currency; cumulative ACV $662.5M–$667.5M (+10% vs fiscal 26 at midpoint)
  • Fiscal 27 total revenues $642M–$646M and subscription revenues $571.5M–$575.5M (midpoint ~$10% growth on reported basis and ~9% constant currency excluding US Mortgage implied)
  • Fiscal 27 non-GAAP operating income $166M–$171M; fiscal 27 free cash flow $135M–$140M

AI IconRisks & Headwinds

  • US Mortgage macro/rates: elevated mortgage rates suppressing seasonal benefit; impacts Q2 US Mortgage subscription guidance (-2% YoY)
  • Expense timing variability: ~$1.7M of non-GAAP operating income overperformance driven by delayed timing of expenses (marketing and other items) that are expected later in the year
  • Guidance conservatism: mortgage guidance based on run-rate from April and “prudent guidance philosophy,” aiming for potential upside rather than projecting industry refi strength
  • Operational scaling risk implied by early AI commercialization: management is focused on near-term adoption (not baking IU upside into this year’s model), indicating potential upside not fully realized in near-term forecasts

Q&A: Analyst Interest

  • AI implementation economics: Management attributed >40% engagement per-hour cost declines to a cross-life-cycle journey led by forward-deploy engineering teams, deploying banking adviser in weeks vs months. They emphasized customer outcomes first, then linked faster deployment to bottom-line translation rather than “overnight” gains.
  • Mortgage revenue framing: Management advised investors to track mortgage revenues via run-rate from April and apply prudent, seasonality-aware guidance, despite industry refi volume improvement. They expected rates rising to impact volumes as the quarter progressed, and guided for consistency to avoid over-forecasting.
  • Renewal/expansion of intelligence units: Management said new evidence is customers reaching the limit of initial intelligence unit bundles, consuming to prove outcomes. They expressed confidence in monetizing via re-upping by year-end, while noting this year’s model focuses on adoption rather than banking IU upside.

Sentiment: MIXED

Note: This summary was synthesized by AI from the NCNO Q1 2027 earnings transcript. Financial data is complex; please verify all metrics against official SEC filings before making investment decisions.

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© 2026 Stock Market Info — nCino, Inc. (NCNO) Financial Profile