NOW
ServiceNow
Priced as an AI casualty; more plausibly an AI beneficiary.
Portfolio weight
9.08%
As of August 20, 2026
The discount and what is causing it
ServiceNow has been hit alongside software generally, because investors increasingly view AI agents as a threat to traditional software. The concern is coherent: if an agent can perform the work a seat-based subscription used to mediate, then seat counts and pricing power both come under pressure.
The weakness looks more like a valuation discount than a deterioration in the opportunity. That distinction is the entire position, and it is also the risk: a re-rating driven by a structural fear does not reverse until results disprove the fear. Agents could also compress seat-based pricing outright, which would change the economics rather than just the multiple.
Why agentic AI may work in ServiceNow's favor
ServiceNow could instead become one of the major beneficiaries of agentic AI. Workflows and enterprise automation become more valuable when software agents can actually execute them, not less. An agent needs a system of record, a permission model and an auditable process to act inside. That is what the platform already is.
The measurable version of this argument is subscription revenue growth and margin, since a platform genuinely capturing agent workloads should show expansion rather than seat erosion.
Reported financials
Financial data through Q2 2026
Subscription + total revenue
SEC XBRL
Financial data through Q2 2026 · SEC XBRL: RevenueFromContractWithCustomerExcludingAssessedTax. Q4 derived as the fiscal-year total less the other three quarters, since XBRL has no standalone Q4 duration.
Revenue growth (YoY)
SEC XBRL
Financial data through Q2 2026 · Year-over-year change, same quarter prior year, from SEC-reported figures.
Gross margin
SEC XBRL
Financial data through Q2 2026 · Computed from SEC-reported grossProfit ÷ revenue.
Operating margin
SEC XBRL
Financial data through Q2 2026 · Computed from SEC-reported operatingIncome ÷ revenue.
Relative valuation
Valuation updated August 2026
Forward P/E
Valuation data pending
Direct-peer average
Pending
Versus its own history
Historical forward-P/E series pending. Maintained by hand in data/fundamentals/manual.ts. No free, reliable source exists for consensus estimates, so nothing is inferred here.
Direct peers
used in the average
Similar enough that comparing multiples is meaningful.
WDAY
Workday
89% similar
fwd P/E pending
CRM
Salesforce
84% similar
fwd P/E pending
GLOB
Globant
66% similar
fwd P/E pending
SNOW
Snowflake
61% similar
fwd P/E pending
Strategic competitors
never averaged
Competing for the same customers or budget, but too different financially for their multiple to say much about this holding.
ORCL
Oracle
23% similar
fwd P/E pending
Excluded from peer average: competes for the same demand, but a different financial profile
Selected by weighted similarity across business model, revenue model, products, end markets, customer type, capital intensity, growth, margins and geography. Direct peers score ≥55% and sit within 2 diversification steps; only they feed the peer average.
