Chipotle's $620M Volume Ranked 179th as Stock Traces Higher Amid Expansion and Supply Chain Woes

On October 8, 2025, Chipotle Mexican Grill (CMG) reported a trading volume of $0.62 billion, ranking 179th among U.S. equities. The stock closed with a 0.07% gain, reflecting muted investor activity amid mixed operational updates.

Recent developments highlighted Chipotle’s strategic focus on menu innovation and digital engagement. The company announced plans to expand its plant-based protein offerings, aiming to attract environmentally conscious consumers. Executives also emphasized a 2025 roadmap targeting 200 new store openings, with a priority on urban markets. However, supply chain challenges, including ongoing delays in sourcing avocados and black beans, raised concerns about margin pressures in the fourth quarter.

Management reaffirmed its commitment to maintaining a 30% to 40% long-term annual revenue growth trajectory, despite short-term headwinds. Analysts noted that while the company’s unit economics remain resilient, recent labor cost inflation in key markets could test its pricing flexibility. No major regulatory or litigation risks were disclosed during the period.

I’d like to make sure I understand the strategy details and your expectations before I run the test. 1. Universe • Do you want to select from all U.S. listed stocks each day, or a narrower universe (e.g., S&P 1500, Nasdaq stocks only, etc.)? 2. Ranking logic • “Daily trading volume” – should we rank by that day’s dollar volume (shares × price) or by raw share volume? 3. Trade execution • Buy at the day’s close and liquidate at the next-day close (close-to-close return), or buy at the next-day open and liquidate at the same day’s close, etc.? • Equal-weight across the 500 names? 4. Costs & constraints • Any transaction-cost assumption or slippage? • Any risk controls (max drawdown stop, etc.)? 5. Output • Are you looking for the aggregate portfolio return curve and summary stats, or a per-stock event study? • Note: The current back-test engine we can invoke inside this chat is designed for one ticker at a time; to replicate a 500-stock daily-rebalanced portfolio we may need to merge many single-stock runs. If that level of detail is essential, I can outline the procedure and provide sample code, but it can’t be executed fully inside this interface today. With these clarifications I can either (a) run an approximate test that captures the spirit of the strategy within the tool limits, or (b) guide you through a Python script you can run locally for the full portfolio back-test. Let me know how you’d like to proceed.