General Mills Surges to $750M in Daily Dollar Volume (Rank 151) as Institutional Investors Boost Holdings Amid Strategic Sales Push

Generated by AI AgentAinvest Volume Radar
Wednesday, Sep 17, 2025 7:20 pm ET1min read
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Aime RobotAime Summary

- General Mills (GIS) saw $750M daily dollar volume (rank 151) on 9/17/25, despite 0.77% price decline to $49.36.

- Institutional investors boosted stakes in Q1/Q4 2025, with Bontempo Ohly increasing holdings 9.7% to $4.12M.

- Company raised quarterly dividend to $0.61/share (4.9% yield) amid 2026 sales growth targets and market share defense.

- Q1 revenue fell 6.8% YoY but EPS exceeded estimates at $0.86, driven by 24.88% return on equity.

- Analysts adjusted outlooks (Goldman Sachs/UBS cut targets; Zacks upgraded to "hold") as 12.09 P/E ratio suggests undervaluation.

On September 17, 2025, , , , , ranking it 151st in market activity. , including Bontempo Ohly Capital Mgmt LLC, Janus Henderson Group PLC, and , increased their stakes in the company during the first and fourth quarters, . These moves reflect renewed institutional confidence amid strategic initiatives to boost organic sales by 2026 and maintain market share in key U.S. categories.

General Mills announced a quarterly dividend of $0.61 per share, , , signaling stability in its capital return strategy. , , . Analysts adjusted their outlooks, with Goldman SachsGS-- and UBSUBS-- lowering price targets, , suggesting potential undervaluation relative to earnings.

To run this back-test robustly I need to pin down a few details that aren’t specified yet: 1. Universe • Should the ranking be done on all U.S. common stocks (NYSE + NASDAQ + AMEX), or on a narrower list (e.g., S&P 1500 constituents, Russell 3000, etc.)? • Is any liquidity or price filter (e.g., > $1 share price) required? 2. Ranking metric • Do you want to rank by dollar volume (shares × price) or by share volume? • Should the volume used be “today’s” volume (buy at today’s close) or “yesterday’s” volume (buy at next day’s open)? 3. Portfolio construction • Equal-weight each of the top 500 names, or weight by volume or market‐cap? • Any transaction-cost assumption (e.g., 1 bpBP-- per side)? 4. Execution price • Enter at today’s close or next day’s open? (Same for exit one day later.) Once I have this, I can generate the data-retrieval plan and run the back-test.

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