Nice (NCSYF) Stock Price & Analysis
NCSYF Stock Chart & Stats
- Day’s Range
- $103.90 - $118.60
- 52-Week Range
- $76.77 - $142.01
- Previous Close
- $112.76
- Volume
- N/A
- Average Volume (3M)
- 7
- Market Cap
- $6.58B
- Enterprise Value
- $15.09B
- Total Cash (Recent Filing)
- $354.69M
- Total Debt (Recent Filing)
- $88.22M
- Price to Earnings (P/E)
- 16.2
- Beta
- 0.40
- Next Earnings
- Nov 04, 2026 (Est.)
- EPS Estimate
- 2.69
- Last Dividend Ex-Date
- Nov 22, 2016
- Dividend Yield
- N/A
Bulls Say, Bears Say
Bulls Say
Very Low Leverage
NICE’s exceptionally low leverage provides substantial financial flexibility for product investment, acquisitions, and shareholder returns while reducing refinancing pressure. Steady equity growth further strengthens the balance sheet and improves resilience if enterprise technology spending becomes less predictable.
AI And Cloud Adoption
Rapid AI ARR growth indicates customers are adopting higher-value automation and self-service capabilities within NICE’s cloud platform. Increasing AI penetration can support cross-selling, deepen customer reliance on the platform, and improve the company’s long-term growth mix.
Strong Cash Generation
Robust free cash flow that broadly tracks earnings supports the quality of NICE’s reported profits and provides internally generated funding for innovation, cloud investment, and capital returns. This cash generation also gives management flexibility without relying heavily on additional borrowing.
Bears Say
Recent Margin And Revenue Deceleration
The recent slowdown and lower net margin indicate that NICE is not currently converting its scale into earnings as efficiently as in the prior year. If higher costs or weaker operating leverage persist, they could constrain EPS growth and reduce the benefits of continued revenue expansion.
Services Revenue Decline
The decline in services revenue creates a near-term headwind as customers migrate from on-premise deployments to cloud offerings. Although the transition can support the strategic cloud model, reduced legacy services activity may pressure reported growth and complicate execution while revenue streams are reshaped.
Bookings-to-Revenue Conversion Lag
Strong bookings do not yet translate immediately into recognized revenue because large customers are staging AI deployments around data, governance, and operating models. This delay can create quarterly variability, make growth less linear, and postpone the financial payoff from commercial momentum.
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Company Description
Nice
NICE Ltd., an Israeli enterprise founded in 1986 and headquartered in Ra'anana, delivers cutting-edge, AI-powered cloud platforms for digital business solutions to clients worldwide. The company, which rebranded from NICE-Systems Ltd. in June 2016, offers a comprehensive suite of products primarily across two critical areas: customer experience (CX) and financial crime and compliance. For customer experience enhancement, NICE provides its flagship CXone platform, an adaptable cloud-native solution supporting contact centers of all scales, from small, single-site operations to extensive networks with remote agents. Its Enlighten AI engine actively identifies automation prospects for self-service functionalities, while digital entry point solutions enable organizations to better cater to consumer demands. Additionally, journey orchestration solutions intelligently direct and connect customers using real-time AI routing. The company also offers smart self-service options for building data-driven automated conversations, along with prepared agent solutions that equip contact center staff with real-time guidance for effective problem resolution. Complete performance solutions help record both structured and unstructured customer interactions and transaction data. Furthermore, NICE Evidencentral serves as a vital digital evidence management platform for public safety bodies, including emergency communications, law enforcement, and criminal justice agencies. In the realm of financial crime and compliance, NICE's offerings include X-Sight, a flexible, open AI-cloud platform. It also offers Xceed, a dedicated cloud platform for comprehensive anti-money laundering (AML) and fraud prevention, particularly tailored for small and mid-sized organizations. Their data intelligence tools convert raw data into actionable insights, aiding in the prevention and detection of financial crimes. Leveraging advanced AI and analytics, NICE facilitates real-time financial crime detection. The company also supplies money laundering and fraud prevention systems to ensure adherence to capital markets and AML compliance regulations, alongside intelligent investigation tools and self-service capabilities that allow for customization and self-development.
- Sector
- General
- Industry
- Software - Application
- CEO
- Scott E. Russell
- Employees
- 9,626
- Website
- www.nice.com
- Address
- NICE 1, 2, 3, Ra'anana, HM, 4310602, IL
Nice (NCSYF) Earnings & Revenues
NCSYF Earnings Call
Earnings Call SentimentPositive
The call emphasized multiple strong operational and commercial positives: revenue and EPS beat, double-digit cloud growth, rapid AI ARR expansion (52% YoY), record bookings and backlog expansion, major enterprise deals (including HMRC), strong international momentum, improving cloud margins, solid cash generation, active buybacks, and meaningful product/platform innovations (Cognigy native to CXone, NICE Labs). The primary negatives were timing and mix dynamics: services decline, temporary lag converting bookings into revenue as large customers stage AI deployments, targeted renewal structuring that can compress near-term metrics, and some sequential variability in AI ARR additions. Management reiterated full-year revenue guidance and raised EPS guidance, expressing confidence in medium-term targets. Overall, the positives are materially stronger than the operational caveats and timing issues.
View all NCSYF earnings summariesNCSYF Stock 12 Month Forecast
Average Price Target
Technical Analysis
Overall Consensus
| Indicator | Bullish | Neutral | Bearish |
|---|---|---|---|
| Overall Consensus | 9 | 5 | 8 |
| Technical Analysis | 3 | 5 | 2 |
| Moving Averages | 6 | 0 | 6 |
