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Fair Isaac Corporation (FICO)
Senior Analyst: Cole Secor
Junior Analysts: Arjun Aggarwal, Matthew Cohen,
Aditi Dass, Kirstin Fong, Matthew Soriento
1
2
BUY
3
Industry	Definition
Businesses	that	develop	software	to	detect	fraudulent	payments	made	to	
clients.	The	software	also	protects	against	fraudulent	payments.
Support	the	detection,	analytics	and	management	of	fraud	across	
users,	accounts,	products,	processes	and	channels
Monitor	and	analyze	user	activity	and	behavior	at	the	
application	level
Watch	what	transpires	inside	and	across	accounts
Analyze	behavior	among	related	users,	accounts	or	other	entities
4
Life	Cycle	Stage:	
Growth	
A	growth	of	30.5%	for	the	past	
8	years	is	a	good	sign	of	the	
future.
Regulation	Level:	
Light
Government	struggles	to	keep	
up	with	the	rapidly	changing	
industry.
Revenue	Volatility:	
Medium
Uncertainties	surrounding	
contracts	and	pricing	pose	risks	
to	revenue.
Globalization:	
Medium
China	and	India	are	becoming	
bigger	players.
Technology	Change:	
High
The	continuing	competition	
between	fraudster	and	firm	
drives	innovation.
Competition	Level:	
High
Companies	of	any	size	can	
compete	for	market	share.
Industry	Overview
5
Industry	Overview
0
200
400
600
800
1000
1200
1400
1600
1800
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Industry	Revenue
Revenue	($m)
30.5%	CAGR
15.5%	CAGR
Source:	Bloomberg,	IBIS	World,	Yahoo	Finance
6
Market	Segmentation
則 The	financial	sector	represents	
the	largest	market	segment
 Includes	commercial	banks,	
retail	banks,	and	brokerage	
firms
則 Public	sector	is	another	large	
contributor	to	market	revenue
 Ranges	from	national	security	to	
welfare	
則 Information	sector	accounts	
for	the	third	largest	segment	
of	revenue
 Continued	 growth	as	more	and	
more	companies	move	data	into	
digital	forms
則 Insurance	and	Healthcare	
sector	widely	uses	fraud	
detection	software	to	detect	
fraudulent	claims
7
Main	Competitors
Market	Cap:	$3.72B Market	Cap:	$2.87B
Market	Cap:	$2.75BMarket	Cap:	$3.01B
8
Company	Overview
則 Use	analytics	to	help	businesses	automate,	improve	
and	connect	decisions	across	their	enterprise,	an	
approach	we	commonly	refer	to	as	decision	
management.
則 Applications:	Pre-configured	decision	management	
applications	designed	for	a	specific	type	of	business	
problem	or	process.
則 Tools:	Composed	of	analytic	and	decision	
management	software	tools.
則 Scores:	Business-to-business	 scoring	solutions	and	
services,	our	myFICO速 solutions	for	consumers,	and	
associated	professional	services
Applications
63%
Scores
25%
Tools
12%
9
Total	E-CommerceSales	Growth
則 As	electronic	payment	
transaction	volumes	increase with	
consumers	increasingly	using	the	
internet	for	a	diverse	range	of	
services,	such	as	online	shopping,	
online	trading	and	online	banking,	
the	risk	of	theft	and	fraud	over	
the	internet	rises.
則 Extremely	strong	correlation	
between	E-Commerce	volume	and	
FICO	revenue	growth	since	2011	
 R2 of	.96273
則 FICO速 Big	Data	Analyzer
則 FICO速 Data	Management	
Integration	Platform
 Streaming	analytics	and	real-time	
distributed	processing	platform.
The	fraud	detection	industry	will	continue	to	grow	as	the	amount	of	E-Commerce	
traffic	volume	increases.
Years Percent	Growth
2006	- 2007 26%
2007	- 2008 10%
2008	- 2009 32%
2009	- 2010 10%
2010	- 2011 26%
2011	- 2012 19%
2012	- 2013 10%
CAGR:	19.06%*
*Since	2006	
Source:	Bloomberg,	IBIS	World,	Yahoo	Finance
10
Applications	Segment	Op.	Income
則 Growth	has	slowed from	12.2%	in	2013
則 $22m	Revenue	Growth,	$31.9m Cost	
Growth
 Company	is	expecting	the	costs	to	level	off
則 Driven	by	higher	salaries	and	an	increase	in
the	cost	of	professional	deliveries
則 Partially	offset	by	an	increase	in	sales	
of	higher-margin	software	products
-
100.0	
200.0	
300.0	
400.0	
500.0	
600.0	
700.0	
800.0	
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Applications	Growth
Applications	Op	Income
A	startling	slow-down	in	the	companys	cash	cow	segment	must	be	
watched	closely.
Source:	Bloomberg,	IBIS	World,	Yahoo	Finance
11
Predictive	Modeling
則 Predictive	Modeling. FICO速 Model	Central
 Represents	underlying	relationships	in	
historical	data	in	order	to	explain	the	data	
and	make	predictions	or	classifications	
about	future	events.
 Rank-order	individuals	by	likely	future	
performance
 models	that	detect	the	likelihood	of	a	
transaction	being	fraudulent.
則 Fraud	Detection	segment	grew	$17.3m
則 Currently	a	$2.74	Billion	industry
則 FICO	is	capturing	81%	of	the	industry
則 Predicted	industry	revenue	of	$9.2B	by	2020
則 27.4% growth	per	year	for	5	years
FICO
19%
Competitiors
81%
Predictive	Modeling	Industry
FICO	is	dominating	 the	predictive	modeling	 industry.	The	industry	expects	to	grow	
27%	per	year	for	the	next	5	years.
Source:	Bloomberg,	IBIS	World,	Yahoo	Finance
12
Chip	Inclusion	in	Debit	and	Credit	Cards
則 The	new	credit	and	debit	smartcards	use	an	
encrypted	chip	rather	than	a	magnetic	stripe,	
reducing	electronic	payment	fraud.
則 U.S.	fraud	rate	expected	to	follow	Canadas	
dramatic	decrease.
則 Industry	will	need	to	rely	on	a	continuing	
growth	from	other	areas	of	fraud	within	the	
U.S.	and	Canada
則 In	every	country	that	has	switched	to	EMV	
cards,	online	fraud	has	jumped.	Aite Group
則 UK	saw	a	79%	increase in	online	fraud	once	
chips	were	introduced.
0
50
100
150
200
250
2008 2009 2010 2011 2012 2013
Canada's	Decrease	in	Retail
Fraud	Since	Chips
Debit	and	Credit	 Card	Fraud	
Losses
Expon.		(Debit	and	Credit	 Card	
Fraud	Losses)
As	credit	and	debit	cards	increasingly	use	computer	chips	the	amount	of	retail	fraud	will	decrease,	
but	online	fraud	will	spike.
Online	Fraud	driving	
Software	application	sales.
Source:	Bloomberg,	IBIS	World,	Yahoo	Finance
13
Discounted Cash Flow Valuation
則 6.07%	growth	rate	based	on	average	of	4	analyst	
estimates
則 Applications	growth	pushes	top-line	earnings	with	a	
10.3%	expected	revenue	growth	rate
FICOs	strong	growth	potential	yields	a	great	ROI	
opportunity.
14
Comparable	Companies	Valuation
則 Median	used	for	all	three	multiples
則 FICO	is	slightly	overvalued	compared	to	competitors
 This	is	mostly	based	on	the	high	hopes	markets	have	for	
the	firm
則 FICO	is	a	leading	innovator	and	this	is	priced	into	their	
stock	and	shown	by	their	high	multiples
則 Weighted	5%	equally	to	price	in	the	overvaluation
Source:	Bloomberg,	IBIS	World,	Yahoo	Finance
15
Risks
則 Suffer	from	dependency on	on	a	small	number	of	customers for	a	significant	amount	of	profit
則 A	decrease	in	government	spending	poses	as	threat	as	the	public	sector	accounts	for 20%	of	industry	profit
則 Failure	to	continue	integrating	acquired	companies	easily
 Recently	acquired	TONBELLER
則 A	failure	for	high	R&D	investment	in	Decision	Management	Strategy	Software	to	provide	returns	
則 If	software	has	a	base	code	that	has	been	open	sourced they	may	have	to	make	the	resulting	software	open	sourced and	
free
The	company	is	at	risk	for	industry-wide	downturns,	 as	well	as	general	
macroeconomic	deterioration.
16
15.2%	Potential Upside
Leading Innovator
Control	of	High	Growth	Sector
BUY
17
BACK	UP	SLIDES
18
Sensitivity	Analysis
19
Free	Cash	Flows
20
Capital	Asset	Pricing	Model
21
Segment	Revenue
22
Income	Statement

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FICO Final 際際滷s