Company: KEY-PI
Filing Date: 2025-08-05
Form Type: 10-Q
Source: 0000091576-25-000110
Chunk: 80

Company: KEYCORP /NEW/
Filing Date: 2025-08-05
Form: 10-Q
Item: Item 2
Chunk 80
---
Total ALLL — continuing operations1,409 249 (a)(253)41 1,446 Discontinued operations13 — (1)— 12 Total ALLL — including discontinued operations$1,422 $249 $(254)$41 $1,458 (a)Excludes a provision for losses on lending-related commitments of $7 million. Six months ended June 30, 2024:Dollars in millionsDecember 31, 2023ProvisionCharge-offsRecoveriesJune 30, 2024Commercial and Industrial $556 $235 $(148)$39 $682 Commercial real estate:Real estate — commercial mortgage419 (22)(15)1 383 Real estate — construction52 14 — — 66 Total commercial real estate loans471 (8)(15)1 449 Commercial lease financing33 (3)(6)5 29 Total commercial loans1,060 224 (169)45 1,160 Real estate — residential mortgage162 (48)(2)3 115 Home equity loans86 (15)(1)1 71 Other consumer loans122 34 (32)4 128 Credit cards78 16 (24)3 73 Total consumer loans448 (13)(59)11 387 Total ALLL — continuing operations1,508 211 (a)(228)56 1,547 Discontinued operations16 (1)(2)1 14 Total ALLL — including discontinued operations$1,524 $210 $(230)$57 $1,561 (a)Excludes a credit for losses on lending-related commitments of $10 million.As described in Note 1 ("Summary of Significant Accounting Policies"), under the heading “Allowance for Loan and Lease Losses” beginning on page 112 of our 2024 Form 10-K, we estimate the ALLL using relevant available information, from internal and external sources, relating to past events, current economic and portfolio conditions, and reasonable and supportable forecasts. In our estimation of expected credit losses, we use a two year reasonable and supportable period across all products. Following this two year period in which supportable forecasts can be generated, for all modeled loan portfolios, we revert expected credit losses to a level that is consistent with our historical information by reverting the macroeconomic variables (model inputs) to their long run average. We