Costco's 1.92B Share Volume Ranks 36th in U.S. Trading Activity as Stock Slips 0.84

Generated by AI AgentAinvest Volume Radar
Tuesday, Sep 16, 2025 9:18 pm ET1min read
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Aime RobotAime Summary

- Costco’s 1.92B share volume ranked 36th in U.S. trading activity as the stock fell 0.84% on Sept. 16, 2025.

- Q2 revenue rose 9.1% to $28.9B, driven by higher membership fees and basket sizes, but gross margin contracted to 13.3%, raising inflationary concerns.

- Membership growth reached 67.8M globally, with a 92% renewal rate, yet sustainability questions persist amid competitive retail pressures.

On September 16, 2025, , ranking 36th in trading activity among U.S. stocks. , reflecting mixed investor sentiment amid broader market dynamics.

Recent earnings releases highlighted Costco’s Q2 performance, , driven by higher membership fees and average basket sizes. However, . Analysts noted the results were in line with estimates but emphasized the need for sustained cost management to offset inflationary impacts on profit margins.

Investor focus shifted to the company’s membership growth strategy, . , underscoring the loyalty of its customer base. However, questions linger about the sustainability of this growth in a competitive retail landscape, particularly as discount rivals expand their service offerings.

To run this back-test rigorously I need to clarify a few practical details: 1. Universe scope • Should the ranking cover all U.S.-listed common stocks (NYSE + NASDAQ), or a different universe (e.g., Russell 3000, S&P 500, etcETC--.)? 2. Re-ranking & execution convention • Do we form the portfolio using each day’s closing data and enter at next day’s open, then exit at that day’s close (i.e., 1-day hold), or another convention? 3. Weighting of the 500 names • Equal-weighted, volume-weighted, or something else? 4. Practical constraints • Are you comfortable with an approximation such as an equal-weighted basket, ignoring transaction costs and slippage? • Our current toolset handles single-ticker tests natively; to evaluate a 500-stock basket I’ll programmatically aggregate the individual stock returns into an equal-weighted portfolio each day. That’s feasible, but it increases data volume and run-time. Once I have these details I’ll generate the data-retrieval plan, build the daily portfolio, and run the back-test from 2022-01-01 to the present.

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