KBRA Assigns Preliminary Ratings to Benchmark 2025-V19
3 Dec 2025 | New York
KBRA is pleased to announce the assignment of preliminary ratings to 13 classes of Benchmark 2025-V19, a $588.7 million CMBS conduit transaction collateralized by 28 commercial mortgage loans secured by 48 properties. The collateral properties are located throughout 17 MSAs, of which the three largest are New York (18.3% of pool balance), Los Angeles (14.0%), and Little Rock-North Little Rock (5.5%). The pool has exposure to all major property types, with five types representing more than 10.0% of the pool balance: retail (21.5%), lodging (18.7%), self-storage (16.6%), multifamily (16.0%) and industrial (13.8%). The loans have in-trust principal balances ranging from $5.1 million to $58.5 million for the largest loan in the pool, Amazon LAX (9.9%),a 19.4-acre industrial development that includes a 141,360 sf warehouse/distribution center situated on a 6.5-acre site along with an adjacent 562,368 sf (12.9-acre) industrial outdoor storage (IOS) facility located next to the Los Angeles International Airport (LAX) in Los Angeles, California, approximately 15 miles southwest of the city’s CBD. The five largest loans, which also include Etude Self Storage Portfolio (9.9%), Fairfield Inn by Marriott Central Park (9.9%), Empire Mall (6.8%), and Hilton Wilmington / Christiana (5.9%), represent 42.6% of the initial pool balance, while the top 10 loans represent 64.9%.
KBRA’s analysis of the transaction incorporated our multi-borrower rating process that begins with our analysts' evaluation of the underlying collateral properties' financial and operating performance, which determine KBRA’s estimate of sustainable net cash flow (KNCF) and KBRA value using our North American CMBS Property Evaluation Methodology. On an aggregate basis, KNCF was 8.8% less than the issuer cash flow. KBRA capitalization rates were applied to each asset’s KNCF to derive values that were, on an aggregate basis, 36.3% less than third party appraisal values. The pool has an in-trust KLTV of 97.3% and an all-in KLTV of 98.2%. The model deploys rent and occupancy stresses, probability of default regressions, and loss given default calculations to determine losses for each collateral loan that are then used to assign our credit ratings.
To access ratings and relevant documents, click here.
Click here to view the report.