

Moose Hantash
1.4K posts

@QuantaraMoose
20 years of investing in quality businesses | I post fundamental research | Thoughts shared in bullets | High-conviction holdings | NFA DYOR









$NOW ServiceNow Investment Thesis ServiceNow has been hit hard. Shares are down roughly 40 percent over the last six months, trading near $100 after peaking around $183. The selloff reflects broad SaaS weakness as investors worry generative AI could automate workflows and commoditize legacy software platforms. That narrative misses the point. ServiceNow is positioning itself as an AI native enterprise orchestrator, not a casualty of AI. The platform sits at the center of mission critical workflows across ITSM, HR, customer service, and operations. These systems are deeply embedded and extremely costly to replace. AI does not remove the need for orchestration. It increases it. Why the market is wrong • Analyst consensus remains bullish with roughly 35 to 40 Buy ratings out of 43 and average 12 month targets around $195 to $203, implying close to 80 percent upside. High end targets reach $260 plus. • Now Assist, ServiceNow’s genAI suite, is already at $600 million in annual contract value and tracking toward $1 billion by year end 2026. • Valuation has reset to about 28x forward PE and roughly 7.5x price to sales on 2026 estimates, attractive for over 20 percent projected revenue growth. • Retention remains strong with about 89 percent of self service requests now supported by AI. AI execution is real • Agentic AI is embedded directly into enterprise workflows, enabling systems to sense, decide, act, and govern. Already used by 36 percent of top enterprise performers. • The AI Control Tower provides governance, auditability, and compliance, which are critical for enterprises scaling AI safely. • Strategic partnerships and acquisitions, including OpenAI access, Moveworks, Armis, and Veza, expand AI agents, security, and automation. • More than 1,000 partners are now building AI agents through the ServiceNow ecosystem. • AI already drives roughly 37 percent of workflows and about 60 percent of internal knowledge creation. Some price targets were trimmed after earnings, but overall sentiment remains constructive as AI adoption accelerates. Unlike generic SaaS tools, ServiceNow becomes more valuable as AI complexity increases. Bottom line The stock is pricing in AI disruption risk while fundamentals point to AI leverage. If execution holds, the risk reward setup strongly favors the upside from here. Technical pricing report and key levels will follow tomorrow.

Frankly I don't care what the price of $NOW is today, next week or 6 months from now. These are my year-end valuation targets 2026–2029 (Bull/Base/Bear) based on my valuation models. • Valuation based on forward P/E multiples applied to consensus EPS (2026: $4.20 → 2027: $5.05 → 2028: $6.15 → 2029: $7.20). • Bull case: 63x P/E is betting on accelerated AI-native adoption and Context Engine leadership premium • Base case: 49x P/E is beating on steady high-teens growth and margin expansion • Bear case: 36x P/E with potential headwinds from slower monetization or macro factors $NOW ’s enterprise AI orchestrator role supports these valuation scenarios long-term. NFA. DYOR.


Any guesses?? 🤨 The contrarian in me is starting to get very bullish on the consumer discretionary sector as a whole. I think the next major rotation begins there once the AI and Tech trade starts cooling off. Consumer sentiment is sitting at its lowest levels since the 1950s. Yes… the 50s. When sentiment gets this washed out, it usually doesn’t take much to flip the narrative fast. I’ve been researching one company in particular that I believe could benefit not only from a consumer discretionary rebound… but from another major sector tailwind as well. Anyone want to take a guess? 👀















$NOW will be back in the 80s soon. Downtrend is too strong and I’m personally not betting on the current low being the bottom.