# Anthropic half-year net income

entity: /record/anthropic.md  
predicate: half_year_net_income  
page: /record/anthropic/half_year_net_income  
as_of: 2026-11-01  

As of November 1, 2026, Anthropic's half-year net income on the AsOf record is -$80.75 billion (H1 2026 (six months ended 2026-06-30)), dated June 30, 2026, from a primary source (sec.gov). The record holds 1 claim on Anthropic's half-year net income, 1 still open and 0 superseded, each dated and sourced; a replaced value is closed with an end date, never deleted.

## Current half-year net income

What the record asserts on 2026-11-01.

- [Anthropic](/record/anthropic.md) | half_year_net_income | -80,748,000,000 United States dollar | valid 2026-06-30 to present | conf 0.95 | valid | [clm_ABE15E72AC39](/claim/clm_ABE15E72AC39.md)
  sources: https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm

## Every dated value

One claim per line, oldest first. Superseded claims stay visible.

- [Anthropic](/record/anthropic.md) | half_year_net_income | -80,748,000,000 United States dollar | valid 2026-06-30 to present | conf 0.95 | valid | [clm_ABE15E72AC39](/claim/clm_ABE15E72AC39.md)
  sources: https://www.sec.gov/Archives/edgar/data/2130357/000162828026067168/anthropicpbc-sx1.htm

## Questions this record answers

### What is Anthropic's current half-year net income?

-$80.75 billion (H1 2026 (six months ended 2026-06-30)), dated June 30, 2026, from a primary source (sec.gov). The record asserts this claim as of November 1, 2026 (status valid, confidence 0.95).


## Get this data

- JSON: /v1/entities/anthropic/half_year_net_income (this fact) · /v1/entities/anthropic?predicates=half_year_net_income (with the entity's coverage; add as_of=YYYY-MM-DD for a date)
- MCP: timeline(entity: "anthropic", predicates: ["half_year_net_income"]) for every dated value · fetch(id: "/record/anthropic/half_year_net_income.md") for this page
- Entity twin: /record/anthropic.md · timeline: /timelines/anthropic.md

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AsOf is a temporal fact ledger: a structured, dated, sourced record of what is true and what changed, built for AI retrieval.