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

BorgWarner Inc. - Price Per Book (TTM) - MarketXLS

Data

Price Per Book (TTM)

Live
1.22
Returns the ratio of the stock's current price to its book value over the past 12 months.

How calculated

It is calculated by dividing share price by book value of the company per share

Example usage

=PricePerBook("MSFT")

Notes

Valuation of the company goes high with higher price to book number and vice versa

Assets

Stocks
Price Per Book (TTM)
StockPrice Per Book (TTM)

BWA

1.22

CMI

4.84

MGA

1.06

TEN

0.38

LEA

1.09

JCI

3.50

DAN

0.78

VC

2.10

HON

8.55

MOD

7.72
BorgWarner Inc. logo

BorgWarner Inc.

Sector: Consumer Cyclical   

Industry: Auto Parts

34.12
 
USD
  
0.36
  
(1.07%)
Previous close: 33.76  Open: 33.62  Bid: 33.8  Ask: 34.39
52 week range    
29.51   
   38.23
Mkt Cap: 7,246 M  Avg Vol (90 Days): 2,261,637
Peers   
CMI / 
MGA / 
TEN / 
LEA / 
JCI / 
DAN / 
VC / 
HON / 
MOD / 
Last updated: Monday 25th November 2024

Stock Rankings

53
MarketXLS Rank
95
Value
23
Technical
42
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