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Earnings call transcript: RingCentral tops Q2 2026 estimates as AI gains lift shares

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Corporate EarningsCorporate Guidance & OutlookTechnology & InnovationArtificial IntelligenceCompany FundamentalsCapital Returns (Dividends / Buybacks)
Earnings call transcript: RingCentral tops Q2 2026 estimates as AI gains lift shares

RingCentral reported fiscal Q2 2026 EPS of $1.22 on revenue of $657M, beating estimates ($1.16 EPS, $650.55M revenue), with revenue up 5.9% YoY and non-GAAP operating margin up ~90 bps to 23.4%. The company raised full-year guidance to $2.635B–$2.646B revenue and $615M–$625M free cash flow (up ~17% YoY at the midpoint) while pushing AI-led growth, with paid AI customers representing ~13% of ARR and net retention for that cohort above 100%. Shares rose 2.55% in regular trading and another 1.4% after hours (+~4% total), alongside a quarterly dividend increase to $0.125 per share and continued buybacks (~2.2M shares for ~$94M).

Analysis

The market is likely underestimating the mix shift more than the top-line beat: this is increasingly a monetization story where AI raises usage, ARPU, and retention inside an installed base rather than a standalone SaaS acceleration story. That matters because the equity can re-rate on free-cash-flow yield, SBC compression, and capital returns even if revenue stays mid-single digit. The dividend increase is especially important for long-only software holders: it broadens the buyer base from growth investors to quality-income and capital-return accounts.

The bigger second-order winner is NICE, not because of direct revenue uplift alone, but because the expanded channel can lower customer acquisition costs and make enterprise bundles stickier. The competitive damage falls on point-solution CCaaS/UCaaS names such as FIVN and ZM, which lack RingCentral’s voice-data loop and now face AI as table stakes rather than a feature. The structural loser set is any vendor that needs third-party telephony or does not own the interaction layer end-to-end.

Near term, the stock can drift higher as investors reframe it as a self-funding compounder; over 1-3 months, the key catalyst is whether AI-led products keep scaling as a meaningful share of net new bookings. Over 6-18 months, the thesis breaks if AI adoption stalls, GAAP margin expansion does not continue, or FCF is boosted by one-time working-capital benefits rather than durable operating leverage. Consensus is likely too bearish on AI cannibalization and too slow to recognize that AI is increasing usage, not displacing it.