Braze's Q2 2026: Contradictions Emerge on Downsell Activity, OfferFit Integration, and Sales Strategy
Generado por agente de IAAinvest Earnings Call Digest
viernes, 5 de septiembre de 2025, 12:14 am ET3 min de lectura
BRZE--
The above is the analysis of the conflicting points in this earnings call
Date of Call: September 04, 2025
Financials Results
- Revenue: $180M, up 24% YOY and 11% sequential
- EPS: $0.15 non-GAAP diluted EPS, compared to $0.09 in the prior year
- Gross Margin: 69.3%, compared to 70.9% in the prior year
- Operating Margin: 3.4% non-GAAP, compared to 2.9% in the prior year
Guidance:
- Q3 revenue: $183.5–$184.5M (~21% YOY at midpoint)
- Q3 non-GAAP operating income: $3.5–$4.5M (~2% margin midpoint)
- Q3 non-GAAP net income: $6.5–$7.5M; EPS: $0.06–$0.07 (~113.5M diluted shares)
- FY26 revenue: $717–$720M (~21% YOY at midpoint)
- OfferFit to add ~2 pts to FY26 growth (~$11–$12M); full quarter in Q3, 8 months in FY26
- FY26 non-GAAP operating income: $24.5–$25.5M (~3.5% margin midpoint; ~350 bps improvement vs FY25)
- FY26 non-GAAP net income: $45.5–$46.5M; EPS: $0.41–$0.42 (~112M diluted shares)
- Q3 includes Forge and other event expenses
Business Commentary:
* Revenue Growth and Operational Efficiency: - BrazeBRZE-- reported$180 million in revenue for Q2 2026, representing a 24% year-over-year increase and a 11% improvement from the previous quarter. - This growth was driven by strong demand and strategic execution globally, with a focus on verticals like retail and e-commerce, and financial services.- Customer Acquisition and Retention:
- The company's customer count increased by
80in Q2, with259new customers year-over-year, reaching a total of2,422customers. - Large customers spending at least
$500,000annually rose by27%year-over-year to282. This was supported by strong customer retention, with dollar-based net retention for large customers at
111%, indicating stability in customer relationships.AI Integration and Product Advancements:
- Braze's acquisition of OfferFit by Braze has accelerated the pipeline for AI decisioning, particularly in the enterprise segment, enhancing competitive advantage.
The integration of OfferFit's AI decisioning engine is expected to drive one-on-one customer personalization and elevate customer engagement strategies.
Operating Profitability and Guidance:
- Braze reported
$6 millionin non-GAAP operating income for Q2 2026, with expectations for full-year 2026 non-GAAP operating income to be around$24.5 million to $25.5 million. - This profitability was driven by disciplined cost management and increased efficiency, providing confidence in achieving long-term financial targets.
Sentiment Analysis:
- “Revenue $180M, up 24% YOY and 11% sequential.” “Passed $700M of committed ARR.” “3 straight quarters of positive non-GAAP operating income and free cash flow; 5 straight quarters of positive non-GAAP net income.” “RPO $862M, up 25% YOY; CRPO $558M, up 27% YOY.” “In-period DBNR stabilized and ticked up from Q1 to Q2.” FY26 guide: revenue $717–$720M (~21% YOY) and ~350 bps operating margin improvement; OfferFit performing to plan.
Q&A:
- Question from Brent Bracelin (Piper Sandler & Co., Research Division): What changed in demand and how can you drive higher growth and leverage?
Response: Macro unchanged; outperformance driven by better execution, high win rates, and easing downsells, boosting visibility and profitability.
- Question from Sitikantha Panigrahi (Mizuho Securities USA LLC, Research Division): How is OfferFit resonating and what ACV uplift are you seeing?
Response: Strong early wins across all regions; full OfferFit typically ~$300K annually with high expected enterprise attach; contributes ~2 pts to FY26 growth (~$11–$12M).
- Question from Sitikantha Panigrahi (Mizuho Securities USA LLC, Research Division): How will OfferFit affect margins as it scales?
Response: Currently neutral to gross margin and modestly dilutive to operating income; expect margin improvement as delivery scales and synergies realized.
- Question from Brett Huff (Stephens Inc., Research Division): How is AI product usage trending and what underpins defensibility?
Response: Broad adoption across AI features; AI lowers usability barriers and lifts productivity; roadmap adds composable models/agents to enhance autonomous engagement.
- Question from Brett Huff (Stephens Inc., Research Division): Any more color on improved sales execution?
Response: Better qualification and stronger pipelines enable focus on winnable late-stage deals, yielding higher win rates without forcing timelines.
- Question from Raimo Lenschow (Barclays Bank PLC, Research Division): Are customer behaviors changing in an AI world to your advantage?
Response: AI amplifies Braze’s small-team-at-scale model and ROI; fundamentals intact though switching costs still elongate cycles.
- Question from Raimo Lenschow (Barclays Bank PLC, Research Division): Outlook for DBNR reacceleration?
Response: DBNR is stabilizing; downsell moderation and OfferFit upsell can drive eventual reacceleration, but no timeline provided.
- Question from Taylor McGinnis (UBS Investment Bank, Research Division): What drove the Q2 outperformance and how did it shape guidance?
Response: Improved downsell and broad demand; plus ~1 point benefit from lower revenue reserves and higher overages.
- Question from Taylor McGinnis (UBS Investment Bank, Research Division): How to view CRPO vs. revenue growth trends?
Response: CRPO trajectory is improving (even organically) in tandem with lower downsells and strong core momentum.
- Question from Brian Peterson (Raymond James & Associates, Inc., Research Division): Any geo/end-market changes in demand?
Response: Strong performance across regions; ANZ standout aided by Australia data center; tighter regional/vertical alignment supports wins.
- Question from Brian Schwartz (Oppenheimer & Co. Inc., Research Division): Does improved productivity change sales hiring in H2?
Response: Yes—Braze will expand sales capacity in H2, supported by smooth CRO onboarding and OfferFit integration.
- Question from Brian Schwartz (Oppenheimer & Co. Inc., Research Division): Are AI tools or low-cost locations driving margin leverage?
Response: Leverage mainly from cost-optimized locations; internal AI efficiency gains are still early.
- Question from Matthew VanVliet (Cantor Fitzgerald & Co., Research Division): Trends in deal sizes and rep maturation?
Response: Deal sizes, terms, and productivity are broadly stable with normal quarter-to-quarter noise; no notable trend shifts.
- Question from James Wood (TD Cowen, Research Division): Is AI disrupting search driving more spend to first-party engagement?
Response: First-party engagement grows in importance as demand aggregators rise; AEO-related budget shifts are still early.
- Question from Yun Suk Kim (Loop Capital Markets LLC, Research Division): Channel trends and OfferFit’s channel impact?
Response: Premium messaging (e.g., WhatsApp/RCS) growing, especially ex-US, aided by flexible credits; OfferFit typically starts with email but can optimize across channels.
- Question from Kincaid LaCorte (Citizens): $500K+ cohort rising but DBNR falling—will it reaccelerate?
Response: DBNR shows in-period stabilization and slight improvement vs. Q1; trajectory is encouraging.
- Question from Tyler Radke (Citigroup Inc., Research Division): What’s behind better reserves/retention—messaging or MAUs?
Response: Improved collections reflect customer health and Tier 1 status; demand is broad across SKUs with credits messaging strong; MAU growth modest.
- Question from Willow Miller (William Blair & Company L.L.C., Research Division): Any remaining ZIRP-era renewal impacts?
Response: No further breakout; focus remains on improving downsell trends and stable in-quarter DBNR.
Divulgación editorial y transparencia de la IA: Ainvest News utiliza tecnología avanzada de Modelos de Lenguaje Largo (LLM) para sintetizar y analizar datos de mercado en tiempo real. Para garantizar los más altos estándares de integridad, cada artículo se somete a un riguroso proceso de verificación con participación humana.
Mientras la IA asiste en el procesamiento de datos y la redacción inicial, un miembro editorial profesional de Ainvest revisa, verifica y aprueba de forma independiente todo el contenido para garantizar su precisión y cumplimiento con los estándares editoriales de Ainvest Fintech Inc. Esta supervisión humana está diseñada para mitigar las alucinaciones de la IA y garantizar el contexto financiero.
Advertencia sobre inversiones: Este contenido se proporciona únicamente con fines informativos y no constituye asesoramiento profesional de inversión, legal o financiero. Los mercados conllevan riesgos inherentes. Se recomienda a los usuarios que realicen una investigación independiente o consulten a un asesor financiero certificado antes de tomar cualquier decisión. Ainvest Fintech Inc. se exime de toda responsabilidad por las acciones tomadas con base en esta información. ¿Encontró un error? Reportar un problema

Comentarios
Aún no hay comentarios