Broadridge sees tokenization expand market infrastructure opportunity

Broadridge sees tokenization expand market infrastructure opportunity
Tokenization boosts Broadridge

Broadridge Financial Solutions is navigating investor concern that artificial intelligence and tokenization could weaken parts of its market-infrastructure business as its shares remain down 20% in 2026. Instead, the company’s entrenched role in shareholder communications, trade processing and back-office systems is positioning it to benefit as traditional and blockchain-based markets develop side by side.

Highlights

  • Broadridge’s distributed ledger repo platform processed about $360 billion of tokenized collateral daily in September, with expected volume increases as client implementation ramps up.
  • The company processed communications for over one billion equity positions in fiscal 2026, reinforcing its dominance in the U.S. governance franchise and high barriers to entry.
  • Broadridge trades at 16.4 times forward earnings, below its five-year average, despite 8% recurring revenue growth and a record $158 million in closed sales in fiscal Q4.

Embedded systems and tokenization adoption

As reported by CNBC, Broadridge’s core businesses remain difficult to displace because they are tied into the operational and regulatory plumbing of financial markets. Financial institutions use its systems for proxy distribution, shareholder voting, trade processing, books and records, settlement and collateral management, areas where replacing a provider requires long implementations and continued compliance with detailed rules.

That position is also shaping how the company participates in tokenization. Broadridge’s distributed ledger repo platform processed about $360 billion of tokenized collateral per day in September, and management expects volumes to rise as signed clients complete implementation and move more activity onto the platform. Its broader DLX platform is also expanding the company’s tokenization capabilities beyond repo transactions.

The article argues that tokenized markets still rely heavily on traditional financial infrastructure rather than bypassing it. Even where investors gain exposure through blockchain-based instruments, the underlying shares are often still held within existing brokerage or custody systems, which means voting, ownership records and related communications continue to pass through established channels that Broadridge already supports.

Valuation, growth and operational risks

Broadridge’s governance franchise continues to benefit from scale in the U.S. market, where many retail investors hold shares in street name through intermediaries rather than appearing directly on company registers. In fiscal 2026, the company processed communications for more than a billion equity positions, a scale that would be hard for a new competitor to replicate across issuers, broker-dealers, custodians and investors.

Artificial intelligence, meanwhile, is looking more like a productivity tool than a direct competitive threat. Broadridge is using agentic AI for tasks such as investigating trade breaks, resolving exceptions and automating repetitive operational work, which management says is producing meaningful efficiency gains, even if it remains unclear how much of those savings the company ultimately keeps.

At about 16.4 times forward earnings, the stock trades below its five-year average despite 8% recurring-revenue growth and 12% adjusted earnings growth in fiscal 2026. Still, investors are watching whether stronger closed sales, including a record $158 million in the fiscal fourth quarter, can be sustained and converted into recurring revenue, especially as large platform deals can take 12 to 24 months to implement and tokenization remains a small contributor to overall earnings.

Our earlier article on CEO sentiment toward AI agents noted that many large U.S. companies are seeing incremental efficiency and growth gains, but only a small share currently view agentic AI as truly transformational. It also highlighted that firms expect continued investment in AI infrastructure and significant hiring and retraining to support deployment, alongside growing attention to governance and human oversight as AI moves closer to core workflows.

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