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Companies $AGPU
$8.98 +$0.99 (12.39%) Close

What Do They Do?

Provides on-demand computing capacity powered by graphics processing units for enterprises, artificial intelligence developers and large-scale workload operators, plus drug-discovery services and tumor models for cancer researchers.

How Do They Make Money?

Compute customers prepay to reserve capacity, priced by the hour for each graphics processor; drug-research customers make partial payments before research and pay the balance after delivery of data or reports.

FY2025 revenue

Who Are Their Customers?

Compute capacity is supplied through managed service agreements; research engagements are set out in master service agreements and statements of work, typically covering research with data or reports delivered.

Do Revenues Turn Into Profits?

No. It lost $233.1M in FY2025.

Operating income, FY2025
−144404% of revenue
▲ +1656% (Loss) vs FY2024 (−$10.3M, −12149%)
Net income, FY2025
−186053% of revenue
▲ +1741% (Loss) vs FY2024 (−$12.7M, −14932%)

How Are They Changing?

Since the FY2025 annual report
Latest quarter: Q2 FY2026, the three months to Jun 30, 2026
Revenue
▲ +119773%
vs $2.7K in Q2 FY2025
Net income
▲ +731% (Loss)
vs −$2.1M in Q2 FY2025
  • Sep 11, 2026 Completed the sale of Helomics to DataMeds The sale completes the transition to a GPU-as-a-Service company.
  • Aug 17, 2026 Agreed with Duos Technologies on 55 MW of AI data center capacity The agreements involve over $500 million in expected aggregate payments; minority equity investments remain under nonbinding term sheets.
  • Jul 27, 2026 Won a five-year customer agreement for a U.S. AI infrastructure cluster The contract has a total value of over $1.5 billion through the Axe Compute Build program.
  • Jul 22, 2026 Secured more than $1.3 billion in new Build program contracts The customer contracts cover projects in the United States and Europe.

Shrinking. Revenue fell 91% in 4 years, from $1.4M in FY2021 to $125.3K in FY2025, about 46% a year.

From oncology to computing The older report centered the business on AI-guided cancer drug discovery, clinical testing, tumor models, protein research and medical-fluid equipment. The latest report prioritizes distributed computing capacity for AI and high-performance workloads through Aethir, while retaining drug-discovery services.

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