Lululemon Shares Plummet 18.58% as $6.24B Volume Ranks 12th in US Equity Trading

On September 5, 2025, , . . equities. The decline followed a revised earnings outlook and operational challenges.

, , citing slowing demand and higher tariffs. CEO expressed disappointment with U.S. performance and product execution, while CFO highlighted industry-wide challenges, including the removal of the . This policy change eliminated tariff-free entry for U.S. imports under $800, affecting two-thirds of Lululemon’s U.S. e-commerce orders fulfilled via Canadian facilities. .

Analysts noted reduced innovation edge as copycats and private-label competitors gain traction. International growth offset weak U.S. results, . However, , below expectations. Lululemon plans strategic price hikes and inventory markdowns to mitigate costs. Despite international expansion, CEO McDonald acknowledged prolonged product life cycles and predictability in casual offerings.

To run this back-test accurately I need to clarify two practical points:

1. Universe

• Do you want to rank all U.S. exchange-listed stocks each day, or limit the universe (e.g., current S&P 500 constituents, NASDAQ-100, etc.)?

• If a non-U.S. market is intended, please specify the exchange/country.

2. Portfolio construction

• The platform’s “strategy_backtest” engine works ticker–by–ticker. To replicate a daily-rebalanced 500-stock basket I would aggregate many tickers into one portfolio calculation.

• We can approximate this in two ways:

a) Run the full multi-ticker portfolio back-test offline, then feed the aggregated equity curve to the engine; or

b) Reduce scope (e.g., test on a single representative ETF or a smaller set) so the engine can run directly.

Please let me know which universe you’d like to use and whether the full 500-stock basket back-test is required.