Commercial real estate investment manager ACORE Capital has announced that Delphi Financial Group, a wholly owned subsidiary of Tokio Marine, has agreed to acquire a majority stake in the firm.
The transaction marks a new phase in the relationship between ACORE Capital and TM/Delphi, which began in 2015 when Delphi made a $1.6 billion capital commitment to support ACORE Capital’s launch.
Since its founding, ACORE Capital has become one of the largest non-bank commercial real estate lenders in the country, managing more than $18 billion in capital. The firm’s portfolio includes floating and fixed-rate separately managed accounts and a series of commingled funds backed by global institutional investors.
ACORE Capital will remain an independent entity and continue to be led by CEO Warren de Haan (pictured above) and the current executive management team. The company stated that there will be no changes to its investment management operations as a result of the acquisition.
“This transaction is a powerful endorsement of the platform we’ve collaboratively built over the past decade,” said de Haan.
Read more: Data, granular risk models drive selective recovery in commercial property
The acquisition comes at a time when the commercial property insurance market is showing signs of uneven recovery. While capacity and rate reductions are returning to some regions and asset classes, multifamily housing and properties in catastrophe-prone areas continue to face heightened scrutiny and limited capacity.
Insurers in the commercial property space are increasingly relying on granular, building-level underwriting, rewarding proactive risk management and penalizing outdated construction. This shift means that real estate investment managers must provide more detailed information on property conditions and resilience measures, which can affect both risk assessment and insurance pricing.
The integration of technology is also reshaping the commercial real estate insurance landscape. Some managing general agents are now using AI-driven algorithms and remote inspection data to assess risk at the building level, including factors such as hail exposure and historical loss likelihood.
