Confluent — Q3 2024 Earnings Presentation
36 slides from Confluent's earnings presentation, Oct 30, 2024
Slide 1: Investor Presentation
Investor Presentation October 30, 2024
Slide 2: Disclaimer
Disclaimer This presentation includes express and implied forward-looking statements. All statements contained in this presentation other than statements of historical facts, including expectations of Confluent, Inc. (“we,” “us,” “our,” or “Confluent”) regarding our revenue, revenue mix, revenue growt
Slide 3: Confluent's Mission: Set Data in Motion
Confluent’s Mission: Set Data in Motion Founded in 2014 by the ~$60B Total Addressable Market¹ Original Creators of Apache Kafka $1B+ Total Revenue Run Rate2 Q3’24 Subscription Revenue $240M / +27% YoY Confluent Cloud Revenue $130M / +42% YoY Non-GAAP Operating Margin (OM) 6.3% / +12pts YoY Dollar-Bas
Slide 4: The Problems with Data at Rest and Legacy Movement Tools
The Problems with Data at Rest and Legacy Movement Tools Data at Rest Legacy Data Movement Tools Databases ETL/Data Messaging Integration Slow, daily batch processing Batch Difficult to Scale Simple, static real-time Expensive No Persistence queries Time Consuming Data Loss No Replay 4
Slide 5: Databases Bring Point-in-Time Queries to Stored Data; This Leads to a Giant Mess in Data Architecture
Databases Bring Point-in-Time Queries to Stored Data; This Leads to a Giant Mess in Data Architecture LINE OF BUSINESS 01 LINE OF BUSINESS 02 PUBLIC CLOUD 5
Slide 6: A New Paradigm for Data in Motion: Data Streaming
A New Paradigm for Data in Motion: Data Streaming To Instant Value From Data Mess To Data Products Everywhere AI/MODELING PROCESS FRAUD RECOMMENDATIONS CUSTOM APPS & PERSONALIZATIONS MICROSERVICES PAYMENTS STREAM ACCOUNTS INVENTORY CONNECT DATA SYSTEMS GOVERN
Slide 7: From Giant Mess to Central Nervous System
From Giant Mess to Central Nervous System DATA STREAMING PLATFORM 7
Slide 8: Proven Success Across Industries
Proven Success Across Industries Financial Services Technology Communications & Media Manufacturing Consumer & Retail Automotive & Transportation Healthcare Insurance 8
Slide 9: Customer Expansion Journey Case Studies
Customer Expansion Journey Case Studies ARR $ in millions Global Telco Payment Global Online Fortune 50 Leader Card Provider Job Site Bank $14.3 $13.5 $6.5 16x $5.9 276x 43x 12x $7.9 $5.3 $2.4 $4.8 $1.5 $1.0 $0.6 $1.2 $0.4 $0.2 $0.6 $0.05 Q4’19 Q1’21 Q1’22 Q4’23 Q2’17 Q4’19 Q1’21 Q4’23 Q3’20 Q1’21 Q
Slide 10: Use Cases Across All Industries
Use Cases Across All Industries Product Streaming Systems of Inventory Personalized Sentiment Retail Management Promotions Development Analysis Enterprise Scale for High & Introduction Messaging Traffic Periods Data Dynamic Staff Connected Integrated Proactive Real-Time Healthcare Health Records Confi
Slide 11: Why Confluent Wins
Why Confluent Wins Product Customer Growth Differentiation Go-To-Market Model Cloud-native: Re-imagined Kafka for the Cloud Product Led: Getting customers’ hands on product early to qualify and deliver faster time-to value Complete: Enable developers to reliably & securely build next-gen apps faster
Slide 12: The Confluent Data Streaming Platform: Stream + Connect + Process + Govern
Product Differentiation The Confluent Data Streaming Platform Stream + Connect + Process + Govern Data Pipelines Real-time Analytics Data Analytics Cyber-Security IoT & Telematics ML & AI Geofencing Streaming ETL Dynamic Pricing Shipment Tracking / Alerting Customer 360 and more… DATA STREAMING APPLI
Slide 13: Confluent's Cloud Advantage: Kora Architecture
Product Differentiation Confluent’s Cloud Advantage: Kora Architecture Other Confluent CUSTOMERS Cloud Services NETWORK Multi-Cloud Networking & Routing Tier METRICS & OBSERVABILITY AZ AZ AZ Metadata Cells GOVERNANCE S Real-time Durability Audits E COMPUTE Cells feedback C data Data Balancing U Cells
Slide 14: Stronger Capabilities, With Up to 60% Lower TCO
Product Differentiation Stronger Capabilities, With Up to 60% Lower TCO HEADCOUNT INFRASTRUCTURE DEVELOPMENT & OPERATIONS SAVINGS WITH CONFLUENT SAVINGS WITH CONFLUENT SAVINGS WITH CONFLUENT Development & Higher Utilization Multi-tenancy Operations Personnel of Infrastructure Elastic Software-driven
Slide 15: Product Led Complements Enterprise Sales GTM Motion
Customer Growth GTM Product Led Complements Enterprise Sales GTM Motion Awareness Mission Critical of Solution PRODUCT LED ENTERPRISE SALES Self-Serve Signup, Master Contract, Success Pay-As-You-Go Plan / Value Realization Evaluation and TCO, Governance Production Development Central Nervous System
Slide 16: Data in Motion Journey
Customer Growth GTM Data in Motion Journey Central Nervous System 5 VALUE Mission Critical Cross-Company Platform 4 Mission Critical, But Disconnected Use Cases Early Production 3 ● Senior executive buy-in Usage (CTO, CIO, CISO) Experimentation ● Center of Excellence / Early Interest 2 ● Company-wid
Slide 17: Network Effects Drive Further Expansion
Network Effects Drive Further Expansion any source NoSQL Web Oracle Custom Apps Mainframes Salesforce Microservices Marketo Monitoring Twitter Analytics AWS, Azure, GCP Data Warehouse …and more any destination 17
Slide 18: Our Powerful and Differentiated Cloud Consumption Model
Customer Growth GTM Our Powerful and Differentiated Cloud Consumption Model Serve mission-critical Power revenue (frontend) Expand seamlessly in Moving up the stack with workloads in and operational (backend) the cloud with strong Flink and capitalizing data infrastructure use cases network effects
Slide 19: Competitive Landscape
Competitive Landscape Legacy Data Infrastructure Cloud Providers Relational DBs Partners & Competitors ESB & Messaging ETL On-Premises Streaming 19
Slide 20: Multiple Levers of Growth in a Large and Growing TAM
Multiple Levers of Growth in a Large and Growing TAM Expand in Easy and Frictionless Land Enterprise-Wide Expansion Underpenetrated Segments with Cloud Pay-As-You-Go via Solutions Selling (e.g. Commercial, Tech) Grow and Harness Continued Productize Use Cases our Partner Ecosystem International Expa
Slide 21: One Team, One Mission: Set Data in Motion
One Team, One Mission: Set Data in Motion Board of Directors Jay Kreps Jun Rao Jay Kreps Co-Founder & CEO Co-Founder Co-Founder & CEO of Confluent Neha Narkhede Co-Founder of Confluent Matt Miller Sequoia Capital Stephanie Buscemi Mike Volpi Erica Schultz Rohan Sivaram Melanie Vinson Index Ventures Pr
Slide 22: A New Data Category, A Large Market Opportunity
A New Data Category, A Large Market Opportunity 2022 Total Addressable Market (TAM) 2022-2025 TAM Growth (3) ~$60B (2) 19% CAGR Addressed by ksqlDB pull queries and Kafka Storage $100B Addressed by Kafka and Cluster Linking $9B Database Addressed by ksqlDB push $10B queries, Connect Analytics SMTs,
Slide 23: Bottoms-up View of Our 2022 Addressable Market
Bottoms-up View of Our 2022 Addressable Market Fortune 500 Enterprise Commercial - Mid Market (LTM Revenue >$1B) (LTM Revenue: <$1B) Number of Companies(1) 500 ~29,000 ~300,000 Estimated Average ARR per Company(2) $10M+ $1M+ $100K+ $60B+ (1) Source: Capital IQ. 23 (2) Estimates based on evaluation o
Slide 24: The Power of Our Hybrid Model
The Power of Our Hybrid Model Confluent Cloud 52% Fully managed, cloud-native Rev Rec: Consumption Confluent Platform 44% Self-managed software Rev Rec: Upfront & ratable VM Services 4% Attached to product sales Rev Rec: As delivered 24 Note: 52% Confluent Cloud revenue mix, 44% Confluent Platform reven
Slide 25: Subscription Revenue
Subscription Revenue Annual Subscription Revenue Quarterly Subscription Revenue $ in millions $ in millions $239.9 $224.7 $729.1 $206.9 $202.8 $189.3 66%+ $176.5 CAGR FY18-FY23 $160.6 $535.0 $155.3 $347.1 $208.6 $130.2 $56.4 Q4’22 Q1’23 Q2’23 Q3’23 Q4’23 Q1’24 Q2’24 Q3’24 FY’18 FY’19 FY’20 FY’21 FY’
Slide 26: Confluent Cloud Revenue
Confluent Cloud Revenue >$0.5B Run Rate1 Annual Cloud Revenue Quarterly Cloud Revenue $ in millions $ in millions $129.8 $348.8 $117.4 $106.8 $100.0 $91.6 $83.6 167%+ $73.6 CAGR $211.2 $68.4 FY18-FY23 $94.2 Q/Q $ $11.5 $12.4 $31.4 $5.3 $9.9 $8.0 $8.4 $6.8 $10.5 Add $14.4 $2.6 Q4’22 Q1’23 Q2’23 Q3’23
Slide 27: Revenue Mix by Geography and Offering
Revenue Mix by Geography and Offering Revenue Mix by Geography Revenue Mix by Offering $ in millions $ in millions $585.9 $777.0 $200.2 $250.2 $585.9 $777.0 $200.2 $250.2 9% 6% 5% 4% 38% 40% 40% 39% 36% 45% 46% 52% 62% 60% 60% 61% 55% 49% 49% 44% FY’22 FY’23 Q3’23 Q3’24 FY’22 FY’23 Q3’23 Q3’24 US In
Slide 28: Customers
Customers Total Customers with Customers with Customers 16% y/y ≥ $100K in ARR ≥ $1M in ARR 14% y/y 19% y/y growth growth growth 5,680 5,440 5,120 184 4,910 4,960 1,346 177 1,306 168 1,229 1,260 1,185 158 155 Q3’23 Q4’23 Q1’24 Q2’24 Q3’24 Q3’23 Q4’23 Q1’24 Q2’24 Q3’24 Q3’23 Q4’23 Q1’24 Q2’24 Q3’24 C
Slide 29: Non-GAAP Subscription Gross Margin
Non-GAAP Subscription Gross Margin Non-GAAP Record Margin Drivers Subscription Gross Margin High 82.2% 79.6% 80.1% Healthy margins for 77.1% Confluent Platform Revenue Growing Confluent Cloud revenue mix Improving Cloud hosting costs due to scale and optimization FY’22 FY’23 Q3’23 Q3’24 Note: Refer to
Slide 30: Driving Efficient Growth
Driving Efficient Growth Non-GAAP Operating Expenses Non-GAAP as % of Revenue Operating Margin % FY’22 FY’23 Q3’23 Q3’24 Record 14% High 11% 10% 6% 27% 9% 24% 24% -5% 22% -7% 61% 48% 47% 42% -30% FY’22 FY’23 Q3’23 Q3’24 S&M R&D G&A Note: Refer to the slides in the section titled “Definitions & GAAP to
Slide 31: Focus on Managing Net Dilution
Focus on Managing Net Dilution Net dilution Calculation SBC % of Revenue Net Dilution • (Shares granted - shares 45% forfeited) / WASO Drivers • SBC is a lagging indicator ~25% • Final tranches of pre-IPO options recognized in SBC through 1H FY25 Mid-Teens 3.5% ~3% • FY’24 net dilution target <2% of
Slide 32: Key Takeaways
Key Takeaways Category Creating ~$60 Billion Strong Growth Company Founded by Total Addressable and Long-Term the Creators of Kafka Market1 Margin Profile Expansion Positioned to Capitalize Seasoned Management Driven by on the Large and Team with Track Record Network Effects Growing Shift to Cloud of
Slide 33: Definitions
Definitions Annual Recurring Revenue (ARR): We define ARR as (1) with respect to Confluent Platform customers, the amount of revenue to which our customers are contractually committed over the following 12 months assuming no increases or reductions in their subscriptions, and (2) with respect to Conflue
Slide 34: GAAP to Non-GAAP Reconciliations
GAAP to Non-GAAP Reconciliations (in thousands, except percentages) FY’22 FY’23 Q3’23 Q3’24 Subscription revenue $535,009 $729,112 $189,270 $239,851 Subscription gross profit on a GAAP basis $388,685 $553,108 $145,166 $187,689 Subscription gross margin on a GAAP basis 72.7% 75.9% 76.7% 78.3% Add: Sto
Slide 35: GAAP to Non-GAAP Reconciliations
GAAP to Non-GAAP Reconciliations (in thousands, except percentages) FY’22 FY’23 Q3’23 Q3’24 Total revenue $585,944 $776,952 $200,181 $250,199 General and administrative (G&A) expense on a GAAP basis $125,710 $137,520 $31,874 $39,471 G&A expense as a % of total revenue on a GAAP basis 21.5% 17.7% 15.
Slide 36: Confluent
@) CONFLUENT