LKQ Corporation - Stock Return Thirty Days - MarketXLS
Data
Stock Return Thirty Days
Live-7.70%
The return is calculated on the closing prices for the given calendar days. The value gets updated everyday at around 5PM EST. Can be used to retrieve total return or price return.
How calculated | (Previous Closing Price/Closing price on the given past x day )-1 |
Example usage | =StockReturnThirtyDays("MSFT") - Returns the total stock return for MSFT for the given period =StockReturnThirtyDays("MSFT","total") - Returns the total stock return for MSFT for the given period =StockReturnThirtyDays("MSFT","price) - Returns the price return for MSFT for the given period |
Assets | Stocks, ETFs ,Mutual Funds, Cryptocurrencies |
| Stock | Stock Return Thirty Days |
|---|---|
LKQ | -7.70% |
ORLY | -1.38% |
GPC | -8.67% |
DORM | -6.51% |
CPRT | -7.28% |
LAD | -7.66% |
AAP | 0.71% |
PRTS | -13.89% |
KAR | 1.49% |
LKQ Corporation
LKQ 
NGS
Sector: Consumer Cyclical
Industry: Auto Parts
36.70
USD
-0.17
(-0.46%)
Previous close: 36.87 Open: 36.93 Bid: 36.31 Ask: 37.09
52 week range
35.57 53.68
Mkt Cap: 9,517 M Avg Vol (90 Days): 2,291,498
Last updated: Wednesday 25th December 2024
Call: 1-877-778-8358 
Welcome! I'm Ankur, the founder and CEO of MarketXLS. With more than ten years of experience, I have assisted over 2,500 customers in developing personalized investment research strategies and monitoring systems using Excel.
I invite you to book a demo with me or my team to save time, enhance your investment research, and streamline your workflows.
I invite you to book a demo with me or my team to save time, enhance your investment research, and streamline your workflows.
Implement “your own” investment strategies in Excel with thousands of MarketXLS functions and templates.
MarketXLS is a complete Excel stock solution
I have used lots of stock and option information services. This is the only one which gives me what I need inside Excel
MarketXLS is a data junkie’s dream. It gives me the flexibility to mine for hidden treasures.
I like to access historical closing prices on a particular date. That makes tracking performance easy.