Skechers Volume Surges 208 to $220M Ranks 475th as Valuation Split Between Optimism and DCF Doubts

Generated by AI AgentAinvest Volume Radar
Tuesday, Sep 9, 2025 6:20 pm ET1min read
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Aime RobotAime Summary

- Skechers (SKX) shares rose 0.02% on Sept. 9, 2025, with trading volume surging 208.28% to $220M, ranking 475th in market activity.

- DCF analysis suggests a 433.6% overvaluation by 2027, contrasting with a 14.3x P/E ratio near the calculated "fair ratio" of 15.2x.

- Analysts highlight valuation splits: optimistic forecasts price shares at $62.3, while conservative models align with DCF's bearish outlook.

- Discrepancies underscore challenges balancing cash flow projections, market sentiment, and sector comparisons for growth expectations.

Skechers (NYSE: SKX) saw a 0.02% rise in 2025 on Sept. 9, , ranking it 475th in market activity. The stock has underperformed its five-year benchmark but faces valuation scrutiny amid mixed fundamentals.

, . , , indicating reasonable valuation relative to earnings and growth expectations.

, while conservative models echo the DCF findings. These discrepancies underscore the challenge of balancing cash flow projections with market sentiment and sector comparisons.

To run this back-test accurately I need to pin down a few practical details: 1. Universe • Which market or index should we scan each day for the “top-500-by-volume” list (e.g., all U.S. common stocks, S&P 1500 constituents, a specific exchange, etcETC--.)? • Are ADRs, ETFs, and penny stocks to be included or excluded? 2. Trade mechanicsMCHB-- • Entry price: use each stock’s next-day open, same-day close, or some other convention? • Exit price after one day: open of the following day or that day’s close? • Equal-weighting vs. volume-weighted vs. . 3. Data considerations Our current single-ticker back-test engine doesn’t natively handle a daily-rebalanced 500-stock basket. We have two main options: a. Approximate the idea using a tradable proxy (e.g., an ETF that tracks the highest-volume U.S. equities). b. Build a custom basket—this is feasible, but we would need to retrieve and process large volumes of historical data for each day and ticker. That will take more steps and time.

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