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Strengths of Our Financial Model

Building  and  scaling  frontier  AI  is  one  of  the  most  important  and  capital-intensive  endeavors  in  history.  Our 
financial model provides us with the following strengths that allow us to build and scale efficiently:

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Rapid  Revenue  Growth.  Our  enterprise  strategy  is  designed  to  drive  durable  customer  adoption  by 
embedding Claude directly into business-critical workflows and enabling the development of products 
built on Claude. We believe that enterprise customers achieve a compelling return on investment from 
Claude, as agentic workflows can drive both top-line growth and efficiency. This enables us to expand 
quickly with customers, as demonstrated by our Net Revenue Retention of approximately 900% as of 
September  30,  2026.  Diffusion  also  accelerates  as  our  models  become  more  capable  and  efficient, 
allowing us to lower the cost per task for customers. For example, Claude Opus 5.5 reduced customer 
costs per task by approximately 40% compared to Claude Opus 5. Lower costs per task drive greater 
usage,  which  in  turn  drives  broader  diffusion  of  Claude.  Our  compute  efficiency  allows  us  to  deliver 
these reductions while preserving our margins.

Compute  Efficiency.  Our  compute  efficiency  drives  more  intelligence  from  research  and  model 
development, and we believe this approach can support more customer and internal usage of Claude 
for  the  same  amount  of  compute  compared  to  other  approaches.  Our  compute  efficiency  is 
demonstrated by revenue that grew 1,368% year over year for the three months ended June 30, 2026 
compared to compute and infrastructure expenses that grew 300% during the same period. 

Operating Efficiency. Our operating efficiency, derived from our high talent density, our efficient go-
to-market,  and  how  extensively  our  teams  leverage  Claude  in  their  work,  enables  us  to  scale  with  a 
smaller  team  relative  to  other  large  enterprise  technology  companies.  Our  operating  efficiency  is 
demonstrated by TTM revenue per employee of over $6.6 million as of September 30, 2026, compared 
to $1.4 million as of September 30, 2025.

The  demonstrated  growth,  scale,  and  efficiency  of  our  financial  model  help  us  to  continue  making  significant 
long-term  investments  to  build  frontier  AI  responsibly.  Our  business  trajectory  and  financial  profile  have 
enabled  us  to  access  capital  and  secure  compute  from  investors  and  partners.  As  of  June  30,  2026,  we  had 
raised  an  aggregate  of $141.1 billion  of  capital  and  had  cash  and  cash  equivalents  of $112.4 billion and short-
term investments of $19.3 billion.

Our Self-Reinforcing Loops

Our scale and growth create self-reinforcing loops that make Claude better over time and that we believe create 
durable competitive advantages.

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Improvement  Loop.  Enterprise  deployments  of  Claude  deepen  our  understanding  of  the  hard 
problems, edge cases, and domain-specific challenges that matter most to our customers. We improve 
our  models,  platform,  and  applications  based  on  feedback  from  customers  using  our  offerings  in 
production  across  their  businesses.  These  improvements  result  in  wider  deployments  and  adoption 
that fuel the next cycle of improvement.

Investment  Loop.  Revenue  from  expanding  enterprise  adoption  helps  us  to  fund  the  compute, 
research,  and  talent  needed  to  improve  Claude.  Claude’s  advancing  capabilities  expand  the  range  of 

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