Citations (1)


Footnotes (11)



Invisible Value? Valuing Companies with Intangible Assets

Aswath Damodaran

New York University - Stern School of Business

September 23, 2009

As we move from manufacturing to service based economies, an increasing large proportion of the firms that we value derive their value from intangible assets ranging from technological patents to human capital. In this paper, we focus on a few variables that make valuing these service companies different from conventional manufacturing firms. The first is that accountants routinely miscategorize operating and capital expenses, when firms invest in intangible assets. Thus, R&D expenses, which are really capital expenses, are treated as operating expenses, thus skewing both reported profit and capital values. The second is that firms with intangible assets are more likely to use options and restricted stock to compensate employees and the accounting treatment of this compensation can also affect earnings and cash flows. In this paper, we look at how best to correct for the accounting errors and the consequences for valuation.

Number of Pages in PDF File: 36

Keywords: Intangible Assets, Valuation

JEL Classification: G12, G31

working papers series

Download This Paper

Date posted: May 17, 2010  

Suggested Citation

Damodaran, Aswath, Invisible Value? Valuing Companies with Intangible Assets (September 23, 2009). Available at SSRN: http://ssrn.com/abstract=1609799 or http://dx.doi.org/10.2139/ssrn.1609799

Contact Information

Aswath Damodaran (Contact Author)
New York University - Stern School of Business ( email )
Stern School of Business
44 West 4th Street
New York, NY 10012-1126
United States
212-998-0340 (Phone)
212-995-4233 (Fax)
HOME PAGE: http://www.damodaran.com
Feedback to SSRN

Paper statistics
Abstract Views: 6,153
Downloads: 1,742
Download Rank: 4,414
Citations:  1
Footnotes:  11

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo3 in 0.500 seconds