Executive Summary
- Operating Profit and 900% Retention. Anthropic recorded an operating profit in the second quarter. The firm also posted a 900% net revenue retention rate, driven by corporate adoption of Claude Code.
- Smart Reports Launch. Anthropic launched reporting tools, surveys, and pooled budgets. The tools give managers clear metrics on token spend, team outputs, and workflow friction.
- Jellyfish Market Study. A study of 276,000 coders found that Anthropic models make nearly one third of all proposed code updates. Tool spending grew tenfold since January.
- High Switching Costs. Dev setups built around field engineering, prompt rules, and agent files create high barriers to switching.
Anthropic reached a major milestone this week. Investor reports show the firm posted an operating profit in the second quarter. The firm also logged a 900% net revenue retention rate. Spending from existing clients in late 2025 grew ninefold by late 2026.
The main driver of this growth is Claude Code. The AI tool helps dev teams write, test, and ship code faster. To keep large buyers hooked, Anthropic launched a new suite called Smart Reports. The tools help tech leaders track where token dollars go.
Table of Contents
Smart Reports and Pooled Budgets
Smart Reports gives managers clear views into team work. Leaders can review tasks across custom date ranges. The dashboard shows what teams made, total spend, and where steps failed. Anthropic confirmed that client data will not train public models by default.
The tool also adds shared group budgets. Rather than managing per-seat fees, managers set shared token limits for dev pods. This setup stops surprise costs while letting active coders build freely.
The Enterprise ROI Dilemma
Big firms have struggled to prove return on investment from AI. Startups spend fast to test new models. Yet many Fortune 500 firms see mixed results. Finance heads want hard facts before signing big software checks.
This tension reflects broader market tests, as noted in recent reports on Anthropic S-1 IPO risks. Smart Reports targets this problem. By sorting session results and logging tech blockers, the tool shows clear proof of coding gains.
Jellyfish Metrics: 33% of Code and 10x Spend Growth
New data from Jellyfish backs Anthropic’s lead. The firm studied AI tool use across 276,000 coders. Claude Code and Anthropic models top the field. They make nearly one third of all proposed code updates.
Spending on these tools grew tenfold this year. AI tool costs now equal 2% of total tech budgets. Nicholas Arcolano of Jellyfish noted that this rapid jump surprised finance teams. Managers must now tune workflows to keep budgets in line.
Comparison Factsheet: Anthropic vs. Market Averages
The factsheet below lists key metrics for Anthropic against market benchmarks.
| Performance Metric | Anthropic Claude Code | Industry Benchmark |
|---|---|---|
| Net Revenue Retention | 900% year-over-year revenue retention rate. | 115% to 140% for typical enterprise SaaS firms. |
| Proposed Code Share | Generates 33% of all proposed code modifications. | 10% to 15% across competing toolsets. |
| Tech Budget Share | Represents 2% of total software costs. | Less than 0.5% in early automation phases. |
| Token Spend Growth | Tenfold spending increase since January 2026. | Twofold to threefold annual growth. |
| Customer Data Privacy | Zero model training on internal analytics by default. | Varies widely across commercial vendors. |
Enterprise Lock-In and Switching Friction
Rivalry between top labs is fierce. OpenAI rolled out its Astra model this past summer. That launch set off debate among programmers, as seen in our review of the OpenAI GPT-6 Astra benchmark debate. Yet Jellyfish data shows Astra has not slowed Anthropic in big firms.
Nikolas Albarran of Jellyfish explained why switching tools is hard. Top labs send tech teams into client offices to build custom tools. Once teams set up prompt rules and agent files, moving to rival tools costs too much.
These trends mirror a broader shift toward automated corporate work. Similar debates shape talks on how AI automation changes technical jobs and labor policy. Anthropic’s reports act as automated field help, locking in its lead as enterprise spend surges.
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Beyond software engineering, enterprise teams are applying Claude models to regulated life sciences. Read our report on how Anthropic Claude cut drug record review times by 89% to see real-world pharmaceutical deployment data.
Frequently Asked Questions
What is net revenue retention and why is 900% notable?
Net revenue retention tracks spend changes among clients over a year. Anthropic’s 900% rate means clients spent nine times more in 2026 than in 2025.
What features are included in Anthropic Smart Reports?
Smart Reports offers workstream breakdowns, task outcome tracking, and friction logs. It also adds pooled group budgets to prevent token spend overruns.
How much code do Anthropic models write in software teams?
A Jellyfish survey of 276,000 coders found that Anthropic models make nearly one third of all proposed code updates.
Why is it difficult for companies to switch AI coding tools?
Firms build custom prompts, rules files, and pipeline hooks around specific models. Rebuilding these setups creates high costs and workflow disruption.
[…] Despite infrastructure liabilities, recent enterprise disclosures show surging software profitability. Spurred by corporate adoption of Claude Code, Anthropic logged an operating profit and 900% net revenue retention. […]
[…] is moving Claude far past basic chatbots and coding tools. As highlighted in our analysis of Anthropic hitting 900 percent retention with Claude Code, enterprise clients are deploying the assistant across specialized technical workflows. The firm […]