KBRA Assigns Ratings to FREMF 2024-K756 and Freddie Mac Structured Pass-Through Certificate Series K-756
31 Jul 2024 | New York
KBRA is pleased to announce the assignment of ratings to four classes of FREMF Series 2024-K756 mortgage pass-through certificates and three classes of Freddie-Mac structured pass-through certificates (SPCs), Series K-756. FREMF 2024-K756 is a $906.0 million CMBS multi-borrower transaction. Freddie Mac will guarantee six classes of certificates issued in the underlying Series 2024-K756 securitization and will deposit the guaranteed underlying certificates into a separate trust that will issue the SPCs.
The underlying transaction is collateralized by 30 fixed-rate multifamily mortgage loans. The loans have principal balances that range from $3.1 million to $82.2 million. The largest loan in the pool, The Pointe On Westshore (9.1%), has an in-trust principal balance of $82.2 million and is secured by a mid-rise multifamily complex located in Tampa, Florida. The five largest loans represent 32.3% of the cut-off date balance and also include Scottsdale Entrada (6.1%), The Point At Palisades (5.8%), Avonlea Towne Lake (5.7%), and Madison Prairie Point (5.7%). The assets are located in 19 states, with the three largest concentrations in Florida (26.9%), Virgina (10.1%), and Texas (7.7%).
KBRA’s analysis of the underlying transaction incorporated our CMBS Multi-Borrower rating process that begins with our analysts’ evaluation of the underlying collateral properties’ financial and operating performance, which is used to determine KBRA’s estimate of sustainable net cash flow (KNCF) and KBRA value using our U.S. CMBS Property Evaluation Methodology. KBRA’s weighted average KNCF for the portfolio is 5.8% less than the issuer’s NCF. KBRA capitalization rates were applied to each asset’s KNCF to derive individual property values that, on an aggregate basis, were 39.7% less than third-party appraisal values. The weighted average KBRA capitalization rate for the transaction is 8.57%. The KBRA credit model deploys rent and occupancy stresses, probability of default regressions, and loss-given default calculations to determine losses for each collateral loan, which are then used to assign our credit ratings.
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