Company: NEWTP
Filing Date: 2025-08-08
Form Type: 10-Q
Source: 0001587987-25-000141
Chunk: 221

Company: NewtekOne, Inc.
Filing Date: 2025-08-08
Form: 10-Q
Item: Part I, Item 8
Chunk 221
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 an ongoing basis. The determination of whether an entity is a VIE and whether the Company is the primary beneficiary of a VIE is based upon the facts and circumstances for the VIE and requires significant judgments such as whether the Company’s interest in a VIE is a variable interest, whether the Company controls the activities that most significantly impact the economic performance of the VIE, and whether the Company has the obligation to absorb losses or the right to receive benefits of the VIE that could be significant to the VIE. A VIE is consolidated if management determines the Company, is the primary beneficiary.

Allowance for Credit Losses – LoansAccounting Standards Update (“ASU”) 2016-13, Financial Instruments - Credit Losses (Topic 326): Measurement of Credit Losses on Financial Instruments (“CECL”) approach requires an estimate of the credit losses expected over the life of a loan (or pool of loans). The allowance for credit losses is a valuation account that is deducted from the loans’ amortized cost basis to present the net, lifetime amount expected to be collected on the loans. Loan losses are charged off against the allowance when management believes a loan balance is uncollectible. Expected recoveries do not exceed the aggregate of amounts previously charged-off and expected to be charged-off.The allowance is comprised of reserves measured on a collective (pool) basis based on a lifetime loss-rate model when similar risk characteristics exist. Loans that do not share risk characteristics are evaluated on an individual basis, which generally includes larger non-accruing commercial loans.The discounted cash flow (“DCF”) method is used to estimate expected credit losses for all loan portfolio segments measured on a collective (pool) basis. For each loan segment, cash flow projections are generated at the instrument level wherein payment expectations are adjusted for estimated prepayment speeds, probability of default, and loss given default. The modeling of prepayment speeds is based on a combination of historical internal data and peer data.Regression analysis of historical internal and peer data is used to determine suitable loss drivers to utilize when modeling lifetime probability of default. This analysis also determines how expected probability of default and loss given default will react to forecasted levels of the loss drivers. For all loan pools utilizing the DCF method, management utilizes various economic indicators such as changes in unemployment rates, gross domestic product, real estate values, and other relevant factors as loss drivers. For all DCF models, management has determined that due to historic volatility in economic data, four quarters currently represents a reasonable and supportable forecast period, followed by a