Moody's Corp（MCO）資訊與事件MCOMoody's Corp

Moody's Q3 Revenue at $2.02B Below Consensus

Reports revenue $2.02B, consensus $2.08B. "Moody's delivered another quarter of strong profitability and earnings growth, with disciplined execution and healthy cash generation amidst an increasingly complex operating environment. It's in markets like these that our customers truly value our independent insights and connected intelligence,' said Rob Fauber, President and CEO.

Reaffirms Revenue Growth View in High-Single-Digit Percent Range

Reaffirms revenue view of increase in the high-single-digit percent range.

Moody's and Allvue Launch Private Credit Model

Moody's Corporation and Allvue Systems announced the launch of the Moody's Analytics EDF-X Private Credit Model, a new forward-looking credit risk model purpose-built for the private credit market. Built on Moody's deep credit expertise and Allvue's private credit performance data, the model identifies early signals of borrower stress, such as covenant waivers and payment-in-kind arrangements, well before they show up as missed payments or defaults. Moody's projects private credit to approach $4T in assets by 2030, and investors and lenders are increasingly seeking earlier visibility on where risk is building across portfolios. Unlike public credit markets where participants have the benefit of access to published credit ratings, financial disclosures, and transparent pricing, private credit often relies on proprietary credit assessments with limited comparability across positions. Moody's and Allvue are collaborating to bring greater transparency and insight to the market. The model draws on de-identified private credit borrower performance data contributed by Allvue. Complementing the existing Moody's Analytics credit risk models, which reflect the performance of private companies across a broad range of lending markets, it is the first Moody's model calibrated directly on observed private credit performance, giving it a view of borrower credit risk that reflects the specific dynamics of the asset class. The model separately estimates the likelihood of hard credit events, such as missed payments, and of the soft credit events that often precede them.