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Bob Knakal, Founder, Chairman, and CEO of BK Real Estate Advisors, was ranked #76 on the 2026 Power 100 list, rising from #85 the previous year. The recognition comes as BKREA celebrates its second anniversary following rapid growth in New York City investment sales and the continued expansion of its proprietary data-driven brokerage platform.
Since launching after Knakal’s departure from JLL, BKREA has completed 43 transactions totaling approximately $1.78 billion across Manhattan real estate, while building a pipeline of listings representing roughly $4 billion in potential sales volume.
BKREA’s proprietary technology platform has already uncovered hundreds of data-driven insights across the Manhattan land market. One example cited by Knakal: corner development sites trade at approximately a 24.4% premium compared to comparable mid-block sites.
The firm combines historical transaction analysis with supply pipeline forecasting to help clients better understand competitive positioning, pricing dynamics, and future development trends.
The Power 100 ranking reflects more than transaction volume. It highlights the increasing importance of information, analytics, and technology in modern commercial real estate brokerage.
BKREA’s growth signals a broader shift in investment sales toward highly specialized, data-informed advisory platforms capable of delivering deeper market intelligence and more strategic execution.
Bob Knakal is the Founder, Chairman, and CEO of BK Real Estate Advisors and one of the most accomplished commercial real estate brokers in New York City history.
BKREA is a New York City-based investment sales brokerage and advisory firm specializing in development sites, land sales, and complex commercial real estate transactions.
He ranked #76 on the 2026 Power 100 list, improving from #85 the prior year.
BKREA has closed approximately $1.78 billion in Manhattan real estate transactions since launching.
It is a proprietary BKREA database tracking every land sale in Manhattan south of 96th Street since 1984.
The firm applies AI and machine-learning models to analyze transaction data, pricing trends, development patterns, and supply pipelines to improve advisory insights.