Home MarketXLS
Dashboard MarketXLS
Screener MarketXLS
Options Profit Calculator MarketXLS
Stock Ranks MarketXLS
Spreadsheet Builder MarketXLS
Documentation MarketXLS
Logout MarketXLS

Olympic Steel Inc. - Gross Margin - MarketXLS

Data

Gross Margin

Live
39.9
Returns the company's gross profit for a given period as a percentage of its revenue.

How calculated

This ratio is calculated as gross profit (Revenue minus Costs of Goods Sold) by total revenue reported

Example usage

=GrossMargin("MSFT")

Notes

Higher the margin, Better the company has been performing operationally

Assets

Stocks
Gross Margin
StockGross Margin

ZEUS

39.9

WOR

23.8

RS

30.3

FSTR

88.3

FRD

34.6

MRC

20.4
Olympic Steel Inc. logo

Olympic Steel Inc.

Sector: Basic Materials   

Industry: Steel

35.24
 
USD
  
0.67
  
(1.94%)
Previous close: 34.57  Open: 34.8  Bid: 18.0  Ask: 39.99
52 week range    
32.23   
   73.49
Mkt Cap: 414 M  Avg Vol (90 Days): 186,476
Peers   
WOR / 
RS / 
FSTR / 
CAS / 
FRD / 
HSC / 
Last updated: Tuesday 5th November 2024

Stock Rankings

55
MarketXLS Rank
100
Value
23
Technical
44
Quality
How are these ranks calculated?
Ad slot not ready
Search for a stock

Call: 1-877-778-8358
Ankur Mohan MarketXLS
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.
Implement “your own” investment strategies in Excel with thousands of MarketXLS functions and templates.

MarketXLS is a complete Excel stock solution

Kevin Hsu

StockKevin.com

I have used lots of stock and option information services. This is the only one which gives me what I need inside Excel

Lloyd Lenase

Option Day Trader

MarketXLS is a data junkie’s dream. It gives me the flexibility to mine for hidden treasures.

Dave

Swing trader since 2011

I like to access historical closing prices on a particular date. That makes tracking performance easy.

Patrick Cusatis, Ph.D., CFA

Associate Professor of Finance - Penn State University