{"slug":"hard-to-borrow-lists-and-borrow-fees","qid":"borrow_demand","label":"Days to cover across six household names, latest settlement date","post_title":"Hard-to-Borrow Lists and Borrow Fees","post_url":"/blog/hard-to-borrow-lists-and-borrow-fees#q-borrow_demand","columns":["ticker","days_to_cover","as_of_label"],"rows":[{"ticker":"AAPL","days_to_cover":2.42,"as_of_label":"Jul 31, 2026"},{"ticker":"KO","days_to_cover":2.39,"as_of_label":"Jul 31, 2026"},{"ticker":"NVDA","days_to_cover":2.3,"as_of_label":"Jul 31, 2026"},{"ticker":"MSFT","days_to_cover":2.03,"as_of_label":"Jul 31, 2026"},{"ticker":"TSLA","days_to_cover":1.55,"as_of_label":"Jul 31, 2026"},{"ticker":"F","days_to_cover":1.43,"as_of_label":"Jul 31, 2026"}],"shape":"ranking","sql":"WITH (\n    SELECT max(settlement_date)\n    FROM global_markets.stocks_short_interest\n) AS latest_settlement\nSELECT\n    ticker,\n    round(max(days_to_cover), 2)                   AS days_to_cover,\n    formatDateTime(latest_settlement, '%b %e, %Y') AS as_of_label\nFROM global_markets.stocks_short_interest\nWHERE settlement_date = latest_settlement\n  AND ticker IN ('AAPL', 'MSFT', 'NVDA', 'TSLA', 'KO', 'F')\nGROUP BY ticker\nORDER BY days_to_cover DESC","computed_at":"2026-08-22T04:06:33.933864+00:00","elapsed":0.02103361}