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Financial results

Capital Return History

Fiscal 2021–2026

Report overview

Historical dividends and share repurchase activity.

01 · Financial highlights

Performance at a glance

USD millionsFY25FY24Change
Dividends paid8.46.529.2%
Share repurchases12.08.050.0%
Total capital returned20.414.540.7%
Free cash flow29.823.626.3%
Return as % of FCF68.5%61.4%7.1 pts

Totals may not sum due to rounding. Percentage changes are calculated from underlying unrounded amounts.

02 · Management discussion

Business performance

Capital allocation priorities are to fund durable organic growth, maintain balance-sheet resilience, evaluate strategic opportunities and return excess capital when appropriate. Authorisations do not require purchases and may be modified or suspended.

Management continues to balance near-term execution with investment in platform capability, contributor experience, security and responsible AI. Results may vary between periods due to the size and timing of client programmes, utilisation, geographic mix and the stage of software deployments.

Our objective is durable growth built on trusted delivery, measurable quality and responsible innovation.

03 · Operating review

How the business performed

AI data services

Scaled delivery

Demand centred on multilingual speech, multimodal collection and specialist annotation. Programme design emphasised consent, representative coverage and auditable quality controls.

Model evaluation

Broader assurance

Client work expanded from accuracy testing into safety, preference, robustness and production monitoring, combining expert review with automated evaluation.

Software & automation

Production adoption

Teams delivered agent, retrieval and workflow solutions with tool permissions, human escalation, operational analytics and change-management support.

People and operations

Global capability

Investment focused on programme leadership, specialist contributor networks, workforce safeguards and repeatable delivery methods across regions.

04 · Risks and outlook

Factors affecting performance

Demand and concentration

Enterprise AI spending, client concentration and programme timing can create volatility.

Quality and delivery

Complex specifications, contributor availability and evolving model requirements may affect cost and schedules.

Privacy and regulation

Data protection, AI governance and cross-border rules continue to develop across markets.

Technology change

Rapid changes in models, platforms and customer architecture require continued investment and adaptation.

The company’s long-term opportunity is supported by increasing requirements for high-quality AI data, independent model evaluation and accountable enterprise automation. Actual outcomes remain subject to market, client, regulatory and execution risks.

05 · Basis and notes

About the information

  1. Presentation. Amounts are shown in US dollars and millions unless otherwise indicated.
  2. Review status. Quarterly information is reviewed internally; annual financial information is prepared in accordance with the reporting basis described in the applicable report.
  3. Non-GAAP measures. Any non-GAAP measure in a final report must be defined and reconciled to the closest GAAP measure.
  4. Forward-looking statements. Expectations are subject to risks and uncertainties; actual results may differ materially.
  5. Rounding. Totals and percentage changes are calculated using underlying amounts and may differ from displayed figures due to rounding.

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