Houlihan Lokey, the global investment bank, launched the Houlihan Lokey Private Credit DataBank, a proprietary dataset and analytics platform delivering structured, loan-level insights into the private credit market.
Sourced from the firm’s recurring portfolio valuation work, the DataBank captures observations from more than 60,000 loan valuations. The dataset reflects the full spectrum of the direct lending market, ranging from borrowers with less than $20 million to those with more than $100 million in EBITDA, across industries, geographies and capital structures, and includes both senior debt and junior debt.
Each loan in the DataBank contains more than 200 standardized data fields, encompassing terms, covenants, issue prices, fair value metrics (e.g., yield, spread, price and more), credit metrics (e.g., leverage, LTV, interest coverage, fixed charge coverage, and more) and borrower financials (e.g., revenue, EBITDA, enterprise value and more). The dataset dates to 2017 and is updated continuously, offering a consistent time-series view of how loans perform over time. The platform supports a range of users across private credit.
“We built the Houlihan Lokey Private Credit DataBank to give clients access to actual loan-level data — not just anecdotes or fund-level data — to understand where the market is heading,” Chris Cessna, a director who helps lead the private credit valuation practice at Houlihan Lokey, said.
“In addition to the DataBank, we developed a dynamic, web-based valuation platform through which clients can gain a dynamic view of their investment portfolio,” Cindy Ma, global head of portfolio valuation and fund advisory services at Houlihan Lokey, said. “They can explore detailed valuation conclusions, run pricing sensitivities, assess how spread and yield changes affect their holdings, and export data directly to their internal systems.”
