NICE Ltd.
- Open
- 108.01
- Day high
- 110.57
- Day low
- 107.94
- Prev close
- 108.83
- Volume
- 487K
- Mkt cap
- $6.5B
- P/E (TTM)
- 15.7
- EPS (TTM)
- $6.95
- P/B
- 1.7
- P/S
- 2.1
- Yield
- —
- Per share
- —
- ▼Insiders net selling -$50K over the last 3 months (0 open-market buys, 1 sale)
- 🏛Institutions mixed (13F)
NICE Ltd. (NICE) is a Technology company listed on NASDAQ. The stock is down 19% over the past year. Over the trailing 3 months, insiders filed 0 open-market buys and 1 sale (SEC Form 4). Drillr has 11 published research articles covering NICE.
NICE Ltd. (NICE) financials & analyst ratings
Fundamentals (TTM)
Analyst consensus · 6 analysts
Source: exchange market data + company filings. Figures are trailing-twelve-month or as most recently reported. For informational purposes only — not investment advice.
NICE earnings date, history & EPS estimates
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| Aug 5, 2026 | $2.64 | $2.70 | +2.2% | $782M | +1.9% |
| May 6, 2026 | $2.53 | $2.64 | +4.2% | $769M | +1.0% |
| Feb 19, 2026 | $3.22 | $3.24 | +0.7% | $791M | +3.9% |
| Nov 13, 2025 | $3.17 | $3.18 | +0.2% | $732M | -6.1% |
| Aug 14, 2025 | $3.00 | $3.01 | +0.5% | $727M | +1.6% |
| May 15, 2025 | $2.85 | $2.87 | +0.8% | $700M | -2.1% |
| Feb 20, 2025 | $2.96 | $3.02 | +2.1% | $722M | +0.5% |
| Nov 14, 2024 | $2.68 | $2.88 | +7.4% | $690M | -3.3% |
| Aug 15, 2024 | $2.58 | $2.64 | +2.4% | $664M | +0.3% |
| May 16, 2024 | $2.45 | $2.58 | +5.4% | $659M | +0.8% |
| Feb 22, 2024 | $2.26 | $2.36 | +4.3% | $623M | +1.0% |
| Nov 16, 2023 | $2.15 | $2.27 | +5.5% | $601M | +0.9% |
NICE insider trading activity (SEC Form 4)
| Date | Insider | Type | Shares | Price |
|---|---|---|---|---|
| Aug 14, 2026 | Simon Zehavadirector | Option | 554 | $0.31 |
| Aug 10, 2026 | Dayan Udi Yehudaofficer: VP, Corporate Finance | Sell | 500 | $100.00 |
| Aug 10, 2026 | Dayan Udi Yehudaofficer: VP, Corporate Finance | Option | 500 | $0.31 |
| Jul 2, 2026 | Russell Scott Edwardofficer: Chief Executive Officer | Grant | 70,000 | — |
| Jul 2, 2026 | Russell Scott Edwardofficer: Chief Executive Officer | Grant | 28,000 | — |
| Jul 2, 2026 | Russell Scott Edwardofficer: Chief Executive Officer | Tax | 2,051 | $90.85 |
| Jun 17, 2026 | Dvir Yocheveddirector | Option | 629 | $0.29 |
| Jun 17, 2026 | Dvir Yocheveddirector | Option | 554 | $0.31 |
| Jun 17, 2026 | Dvir Yocheveddirector | Option | 696 | $0.29 |
| Jun 17, 2026 | Dvir Yocheveddirector | Option | 521 | $0.28 |
| Jun 17, 2026 | Dvir Yocheveddirector | Option | 636 | $0.27 |
| Jun 4, 2026 | Ben-Shaoul Rimondirector | Option | 554 | $0.31 |
| Jun 4, 2026 | Ben-Shaoul Rimondirector | Option | 629 | $0.29 |
| Jun 4, 2026 | Ben-Shaoul Rimondirector | Option | 696 | $0.29 |
| Jun 4, 2026 | Ben-Shaoul Rimondirector | Option | 636 | $0.27 |
Source: NICE SEC Form 4 filings, latest Aug 14, 2026. For informational purposes only — not investment advice.
See the full NICE insider & 13F page →NICE research & analysis
US AML Overhaul Hits JPM, BAC and PYPL — While NICE, FISV and JKHY Stand to Win
US AML regulatory proposal burdens banks like JPM, BAC, PYPL with costs but fuels demand for NICE, FISV, JKHY compliance tech. Article analyzes exposure, metrics, and ranks picks.
JPMBACPYPLThe 2027 CCaaS AI Inflection: Ranking NICE, Five9, and Verint on Agent Monetization Readiness
NICE leads the 2027 CCaaS AI inflection ranking on the strength of its $2.97B revenue base, 66.4% gross margins, $703M FCF, and Enlighten AI platform already embedded in enterprise contracts. Verint takes second with the most aggressive AI monetization model (per-bot pricing) but carries execution risk from slower growth and leverage. Five9, despite best-in-class cloud architecture, lacks a proprietary AI layer and trades at a valuation discount that reflects this structural gap.
FIVNVRNTAI Agents vs. Human Contact Centers: Mapping the Winners and Losers Across a $500B Market
AI agents are restructuring the $500B contact center market, creating clear winners (cloud platform vendors like NICE, Five9, and Salesforce) and losers (BPO operators like Concentrix and TTEC whose human-labor model is under structural assault). NICE leads on profitability and AI product maturity at an undemanding valuation; TTEC and Concentrix face secular headcount displacement with limited credible AI pivots.
FIVNCRMCNXCFive9 vs. NICE: Why the 8x Margin Gap Tells the Real AI Contact Center Story
NICE's 22.2% operating margin dwarfs Five9's 2.8% in FY2025 — an 8x gap rooted in an 11.7pp gross margin advantage and superior SG&A leverage from 2.6x greater scale. However, Five9's margin trajectory is inflecting sharply, with operating margins improving from -5.8% to +7.3% over five quarters, and its forward P/E of 5.3x versus NICE's 11.0x prices in significant upside if the trend holds.
FIVNWhich enterprise verticals are switching CCaaS vendors fastest — and does Five9 or NICE win those deals?
NICE dominates enterprise-wide CCaaS vendor switches — particularly in financial services — with 66% gross margins and 22% operating margins, while Five9 wins mid-market and BPO deals at faster growth rates but thinner margins. At 5.3x forward P/E, Five9 is a turnaround bet; NICE at 11x forward earnings is the quality compounder in a market where Amazon Connect looms as the disruptive low-cost entrant.
FIVNTWLOAMZNDoes Twilio or Amazon Connect pose a bigger substitution threat to Five9 and NICE than each other?
Amazon Connect poses a greater substitution threat to Five9 and NICE than Twilio due to AWS's enterprise distribution advantage, AI infrastructure dominance, and disruptive per-minute pricing model. Five9 is more vulnerable than NICE given its narrower product suite and $33M operating income vs. NICE's $660M, leaving less room to invest defensively against platform giants.
TWLOAMZNFIVNCan Five9's agentic AI close the margin gap with NICE, or does scale win in CCaaS?
NICE dominates Five9 on profitability with a 19pp EBIT margin advantage and 15x more net income, but Five9's dramatic inflection to GAAP profitability in FY 2025 — from -$82M to +$39M net income in two years — suggests agentic AI is closing the gap. Scale still wins on absolute economics, making NICE the quality hold while Five9 is the speculative bet at 1.3x EV/Sales.
FIVNCan Contact Center BPOs Pivot to AI Services Before Volume Erosion Becomes Structural?
AI agents are automating the routine interactions that have supported BPO headcount models for decades, with Salesforce AgentForce and NICE Enlighten now deployed at enterprise scale. Among legacy BPOs, Concentrix and TTEC show acute financial distress from volume erosion and leverage, while TaskUs offers the most credible pivot into AI services — trading at just 7x forward earnings despite 19% revenue growth. NICE remains the highest-conviction CCaaS infrastructure play as contact centers modernize.
CNXCTTECTASKWho Wins the $500B Contact Center AI Disruption — NICE, Salesforce, or the New Entrants?
The $500B contact center market is undergoing structural disruption as AI agents replace human representatives at scale, creating a clear opportunity for cloud CCaaS and infrastructure providers. NICE and Salesforce lead the field with defensible AI platforms and strong profitability, while Five9 faces a binary outcome and Twilio offers durable infrastructure exposure across the broader AI agent ecosystem.
CRMFIVNTWLOAt What AI Agent Attach Rate Does CCaaS Revenue Mix Shift Structurally — and Who Gets There First?
The structural inflection in CCaaS occurs when AI agent autonomous-handle-rates cross 20-25%, shifting revenue mix from seat-based to consumption-weighted AI pricing. Salesforce has the highest probability of getting there first via Agentforce's installed-base scale, while NICE offers the best risk-adjusted valuation for investors positioning ahead of the 2027 inflection. Five9 and Verint are higher-variance bets on the pace of enterprise AI adoption.
FIVNVRNTCRMNICE vs. Five9 vs. Verint: Which CCaaS Platform Is Most Ready to Monetize AI Agents by 2027?
NICE, Five9, and Verint are competing to monetize AI agents in the CCaaS market by 2027. NICE leads on financial strength ($2.97B revenue, 22.5% FCF margin) and has the most advanced consumption-based AI pricing model; Five9 shows improving momentum but faces structural margin headwinds; Verint's WEM-focused open platform is differentiated but revenue growth is lagging. NICE is best positioned to convert AI agent adoption into durable revenue at scale.
FIVNVRNT
NICE Ltd. company profile
Overview
NICE Ltd. (NASDAQ:NICE) is an Israeli software company founded in 1986 that has evolved from its origins in telecommunications recording systems to become a leading provider of cloud-based artificial intelligence platforms for customer experience and financial crime prevention. Originally known as NICE-Systems Ltd., the company went public in 1996 and rebranded to NICE Ltd. in 2016. Headquartered in Ra'anana, Israel, NICE has transformed into a global enterprise software leader serving organizations worldwide with AI-driven digital business solutions, particularly in contact center operations and financial compliance.
Business
NICE operates in the enterprise software industry, specifically focusing on two primary business segments that leverage artificial intelligence and cloud computing technologies. Customer Engagement Solutions (83% of revenue) represents the company's largest business segment, centered around the CXone platform - a cloud-native contact center as a service (CCaaS) solution. CXone is essentially a comprehensive digital platform that enables organizations to manage all customer interactions across multiple channels including phone calls, emails, chat, social media, and text messaging from a single unified interface. The platform incorporates advanced AI capabilities through Enlighten AI, which can automatically summarize customer conversations, provide real-time guidance to agents, and even handle certain customer interactions autonomously through what NICE calls "Agentic AI." This segment also includes CXone Mpower, described as a "hyper platform" that orchestrates customer service automation and can intelligently route customers to the most appropriate resolution path, whether that's self-service, an automated AI agent, or a human representative. Financial Crime and Compliance Solutions (17% of revenue) focuses on helping financial institutions detect and prevent money laundering, fraud, and other financial crimes. The core product is X-Sight, an AI-powered cloud platform that analyzes transaction patterns and customer behavior to identify suspicious activities in real-time. The segment also includes Xceed for smaller financial institutions and NICE Evidencentral, a digital evidence management platform used by law enforcement and public safety agencies to manage and analyze digital evidence from emergency communications and criminal investigations. Both segments are unified by NICE's focus on transforming unstructured data - whether customer conversations or financial transactions - into actionable intelligence through AI and machine learning technologies. The company's cloud revenue represents 74% of total revenue, reflecting the ongoing industry shift from on-premise software installations to cloud-based software-as-a-service models.
Revenue model
NICE generates revenue primarily through software-as-a-service (SaaS) subscription models, with 88% of total revenue classified as recurring. The company's business model has evolved significantly, moving from traditional per-agent pricing to more sophisticated consumption-based pricing tied to interaction volumes and AI usage. In the Customer Engagement segment, NICE charges customers based on the number of customer interactions processed through their platform, rather than simply the number of agents using the system. This model becomes particularly lucrative as customers deploy more AI-powered automation, since AI can handle significantly more interactions than human agents. The company has seen deal sizes increase 2-10x when customers migrate from legacy systems to their comprehensive cloud platform, with AI-enabled deals showing 100% growth in average contract values over $1 million. The Financial Crime and Compliance segment operates on similar subscription principles, with pricing typically based on transaction volumes processed and the number of compliance officers using the system. Financial institutions pay for the platform's ability to analyze millions of transactions and flag suspicious activities automatically. Several factors influence NICE's profit margins positively: cloud migration trends drive higher-margin recurring revenue, AI adoption enables premium pricing and increased deal sizes, platform consolidation allows customers to replace multiple point solutions with NICE's comprehensive offering, and economies of scale in their cloud infrastructure reduce per-customer costs as the business grows. The company maintains strong gross margins of approximately 70% on cloud services. Potential margin pressures include increased competition from larger technology companies like Microsoft entering the contact center space, customer concentration risk in certain verticals, and the ongoing investment requirements in AI research and development to maintain technological leadership. However, the mission-critical nature of both customer service and financial compliance solutions provides some insulation from economic downturns, as these functions are typically considered essential business operations rather than discretionary spending.
Competitive moat
NICE possesses a moderately strong competitive moat built on several reinforcing factors, though it faces increasing competitive pressure from well-funded technology giants. The company's primary moat stems from its extensive proprietary data assets - billions of historical customer interactions and financial transactions that have been used to train its AI models over decades. This data advantage is particularly valuable in AI applications, where model performance typically improves with more training data. NICE's domain expertise in customer experience and financial compliance creates significant switching costs, as competitors' generic AI solutions often lack the specialized knowledge required for these complex use cases. Platform network effects strengthen NICE's position as customers increasingly adopt multiple modules within the CXone ecosystem. Once organizations integrate NICE's platform across their customer service operations, replacing it becomes costly and disruptive, requiring retraining of staff and reconfiguration of business processes. The company benefits from high customer retention rates and expanding wallet share as customers add more AI capabilities and interaction channels. However, NICE's moat faces significant challenges from Big Tech competitors, particularly Microsoft, which can leverage massive resources and existing enterprise relationships to compete on price and integration capabilities. The contact center market is also experiencing rapid technological change, with new AI capabilities potentially disrupting traditional approaches to customer service. The regulatory compliance aspect of NICE's financial crime solutions provides a stronger defensive position, as financial institutions face strict requirements and penalties for compliance failures, making them hesitant to switch providers. Nevertheless, the company must continue investing heavily in R&D to maintain its technological edge, and its relatively smaller scale compared to cloud hyperscalers like Microsoft and Amazon could become a disadvantage in price-sensitive enterprise deals. Overall, while NICE has built meaningful competitive advantages through data, expertise, and customer entrenchment, the moat is under pressure from well-capitalized competitors and rapid technological evolution in AI.
Risks & safety
NICE demonstrates a strong financial position with solid margins of safety across multiple metrics, though valuation appears elevated relative to historical norms. Liquidity and Solvency: - Cash and short-term investments: $482 million with minimal debt (debt-to-equity ratio of 0.16) - Strong free cash flow generation: $798 million in 2024 (29% of revenue) - Current ratio of 1.70 indicates adequate short-term liquidity - No significant solvency concerns given strong cash generation and low debt levels Valuation Metrics: - P/E ratio: 27.2x (elevated but reasonable for a growing SaaS company) - EV/EBITDA: 13.4x (moderate for enterprise software) - Price-to-book: 3.0x (reflects asset-light business model) - Graham number suggests potential overvaluation at current price levels Other Considerations: - High recurring revenue (88%) provides predictable cash flows - Strong operating margins (31.5%) demonstrate pricing power - Cloud transition still providing growth runway - Currency exposure as Israeli company with global operations may create volatility
Recent development
Over the past few years, NICE has undergone significant strategic transformation centered on AI leadership and cloud platform consolidation. The company launched CXone Mpower in 2024, positioning it as the world's first comprehensive AI platform for customer experience, which represents a major evolution from traditional contact center software to an intelligent automation platform. The company has aggressively invested in AI capabilities, with 97% of large enterprise deals now including AI offerings. Key AI products like Enlighten Copilot (providing real-time agent assistance), Autopilot (autonomous customer interaction handling), and AutoSummary (automatic call summarization) have seen explosive growth, with some products showing 6x year-over-year growth in annual contract values. NICE has also pioneered Agentic AI, which can handle complete customer interactions without human intervention. A significant leadership transition occurred with the appointment of Scott Russell as CEO in January 2025, replacing long-time CEO Barak Eilam. This change reflects the board's focus on finding leadership with extensive enterprise software scaling experience to drive the next phase of growth. The company completed the LiveVox acquisition, expanding its capabilities in proactive customer outreach and mid-market segments. NICE has also shifted its pricing model from per-agent to consumption-based, allowing customers to pay based on interaction volumes rather than the number of human agents, which better aligns with the AI-driven automation value proposition. Strategically, NICE has focused on displacing legacy competitors, with over 100 enterprise customers switching from traditional on-premise systems and 45+ brands migrating from failed cloud implementations by competitors. The company has also expanded its partner ecosystem significantly, adding 40+ new partners to accelerate market penetration, particularly in international markets and the mid-market segment.
NICE company profile · for informational purposes only — not investment advice.
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