ServiceNow's Q2 Shows AI Acceleration Driving Record Growth and Margin Expansion
•1 min read
Revenue
$2.15B ( YoY, QoQ) with subscription revenue at $2.08B ( YoY)
↑+23%
Rd Spend
$449M ( YoY) representing of revenue
↑+28%
Net Income
$227M ( YoY) representing net margin
↑+56%
Gross Margin
(+150bps YoY) driven by platform scale benefits
↑82%
Free Cash Flow
$628M ( YoY) with FCF margin
↑+38%
Operating Margin
(+300bps YoY) showing strong operational leverage
↑28%
Growth Indicators
$7.25B ( YoY)
↑+24%
Customer Count1,724 customers >$1M ACV (+63 in Q2)
Retention Rate↑99% with 125% net expansion rate
ServiceNow delivered exceptional Q2 results with subscription revenues growing 25% YoY to $2.08B, demonstrating strong enterprise demand for AI-powered workflow automation. Operating margins expanded 300bps to 28% as operational leverage improved despite increased R&D investments in AI capabilities. The company added 63 customers with >$1M in ACV during Q2, bringing the total to 1,724. Management raised FY24 guidance and sees AI as a transformative catalyst that could double their $220B TAM by 2026.
Key Risks
AI competition from major cloud platforms could impact growth trajectory
Macro uncertainty affecting enterprise IT spending
AI infrastructure costs potentially pressuring margins
Execution risks in maintaining rapid innovation pace
Key Opportunities
AI-driven TAM expansion to $440B by 2026
Geographic expansion in Asia-Pacific with strong growth potential
Cross-sell momentum in existing customer base
M&A opportunities to accelerate AI capabilities
Bottom Line
ServiceNow's Q2 results demonstrate the company's strengthening market position and early leadership in enterprise AI adoption. The combination of accelerating growth, expanding margins, and AI-driven TAM expansion suggests the company is entering a new phase of market leadership. Key metrics to watch include AI adoption rates, deal sizes, and competitive win rates. The company's platform approach and workflow expertise provide unique advantages in enterprise AI deployment. The main risks center on increased AI competition and potential macro headwinds, though strong retention rates and mission-critical use cases provide defensive characteristics.