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10-Q2026-05-01· grok-4-1-fast-non-reasoning

DCOM · Dime Community Bancshares, Inc.

0000846617-26-000030

SEC filing

Summary

Dime Community Bancshares delivered strong Q1 2026 profitability with net income up 61.2% to $34.6M and diluted EPS rising 66.7% to $0.75, driven by revenue growth and business loan expansion despite deposit shifts.

Key takeaways

Full analysis

Dime Community Bancshares, Inc. (DCOM) reported robust Q1 2026 results with net income of $34.6 million, up 61.2% from $21.5 million in the prior year quarter, and diluted EPS of $0.75, a 66.7% increase from $0.45. This performance reflects the company's ability to grow revenue to $5.7 million (23.4% YoY from $4.6 million) through interest income expansion, even as deposit composition shifted.

Deposit levels decreased during the quarter, driven by reductions in non-interest-bearing checking accounts, interest-bearing checking accounts, savings accounts, and CDs. This outflow was partially mitigated by growth in money market account deposits, which helped maintain funding stability. Management maintains disciplined liquidity oversight, with the Board reviewing and updating its liquidity policy annually. Monthly liquidity reserve reports go to senior management and the Board, while daily cash position reports and 30-day forecasts ensure short-term obligations are met and future funding needs are addressed. A twelve-month liquidity forecast is also presented to the Asset-Liability Committee (ALCO) to proactively identify potential concerns.

Net cash provided by operating activities totaled $47.97 million, lower than the $65.42 million in Q1 2025, reflecting typical quarterly fluctuations in cash cycle dynamics. The company continues to prioritize credit risk management, with reserves for unfunded loan commitments determined based on outstanding volumes at period-end. Looking forward, non-owner occupied commercial real estate loans and multifamily residential/mixed-use loans are expected to remain significant portfolio components, with loss forecasting models incorporating macroeconomic variables to project expected losses.