Investment thesisEquityEnterprise Software
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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

WDAY

Workday

89% similar

fwd P/E pending

same business modelsame revenue modeloverlapping products
CRM

CRM

Salesforce

84% similar

fwd P/E pending

same business modelsame revenue modelsame end markets
GLOB

GLOB

Globant

66% similar

fwd P/E pending

same business modelsame revenue modelsimilar capital intensity
SNOW

SNOW

Snowflake

61% similar

fwd P/E pending

same business modelsimilar capital intensityoverlapping products

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

ORCL

Oracle

23% similar

fwd P/E pending

same customer typesimilar margin profilesimilar growth profile

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.