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US TECH FUNDING
M o r g a n B e n d e r , B e n e d i c t E v a n s , S c o t t K u p o r J u n e 2 0 1 5
2
What’s going on in the public markets?
What are all these “unicorns”?
What’s going on in venture capital?
Disclaimer: This is not an investment recommendation
3
0
20
40
60
80
100
1980 1985 1990 1995 2000 2005 2010
US tech IPO & private funding ($bn)
The starting point – what’s going on? 34 years of US tech funding
Source: Capital IQ, Jay Ritter, University of Florida, NVCA, a16z
IPO
Private
2014
4
0
20
40
60
80
100
120
140
1980 1985 1990 1995 2000 2005 2010
US tech IPO & private funding ($bn, 2014 dollars)
…inflation adjusted (Can you spot the bubble?)
Source: Capital IQ, Jay Ritter, University of Florida, NVCA, a16z
IPO
Private
2014
The argument against a tech bubble
6
0
200
400
600
800
1,000
1,200
1,400
1990 1995 2000 2005 2010 2015
S&P IT index (adjusted for inflation)
Tech market indices are approaching the levels of 1999…
Source: Bloomberg
7
0
10
20
30
40
50
60
0
200
400
600
800
1,000
1,200
1,400
1990 1995 2000 2005 2010 2015
Forw
ard
P/E
mul
tiple
Inde
x pr
ice
S&P IT index (adjusted for inflation)
But, earnings, not P/E multiples, are growing This time, profits are driving returns – in fact, P/E multiples are at early 1990s levels
Source: Bloomberg
Forward P/E multiple
Index
8
0
50
100
150
200
250
300
350
400
0
10
20
30
40
50
60
70
80
1980 1985 1990 1995 2000 2005 2010
Num
ber o
f IPO
s
IPO
fund
ing
($bn
) US tech IPO funding ($bn, 2014 dollars) and number of IPOs
And tech IPOs are essentially dead The tech IPO market is at early 1980’s volumes
Source: Jay Ritter, University of Florida
IPO funding
Number of IPOs
2014
9
IPO volumes are at 35-yr median levels
Source: Jay Ritter
53 in 2014
vs. 632 in ’99-’00
vs. 514 from ’01-’14
vs. 50 median from ’80-’14
10
0%
5%
10%
15%
20%
25%
30%
35%
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
S&P IT index market cap as % of S&P 500 market cap
Tech’s contribution to S&P is flat Public tech companies’ share of the overall US stock market is stable for 14 years
Source: Bloomberg
11
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
1.2%
1980 1985 1990 1995 2000 2005 2010
US tech funding (IPO + private) as % GDP
As is tech funding’s share of GDP Steady growth in funding reflects the scale of the opportunity
Source: Capital IQ, Jay Ritter, University of Florida, NVCA, BEA, a16z
2014
12
0
1
2
3
4
5
1995 2000 2014 2020
Billion people online
But, market size is for real this time The internet is working now – from 40 million people online to 4 billion
Source: ITU, a16z
Smartphones
People online
13
$0
$100
$200
$300
$400
$500
$600
$700
$800
$900
$1,000
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Tech funding per US internet user ($, 2014 dollars)
Funding per person online US funding per internet user is down 80% since the Bubble
Source: Capital IQ, ITU, US Census, a16z
Public $ / user
Private $ / user
14
0
50
100
150
200
250
300
350
400
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
US online revenues ($bn, 2014 dollars)
People are spending (lots of) money online US ecommerce + online ad revenue has increased ~15x since 1999
Source: US Census Bureau, IAB/PwC, a16z
Online advertising
Ecommerce
15
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
US retail revenue ($bn, 2014 dollars)
And there’s more to come Ecommerce is still only 6% of US retail revenue – far more room to grow
Source: US Census Bureau, a16z
Ecommerce
Retail ex. Ecommerce
16
“It’s different this time.”
*2014 dollars, venture & IPO. Source: Capital IQ, Bloomberg, BEA, ITU, US Census, Jay Ritter, University of Florida, a16z
1999 2014
US tech funding $* $71bn $48bn
Funding as % US Tech GDP 10.8% 2.6%
S&P IT index forward P/E 39.0x 16.1x
Global internet population 0.4bn people 3bn people
US ecommerce revenues* $12bn $304bn
Number of IPOs 371 53
Median time to IPO 4 Years 11 Years
The unicorn hunt is a big difference
18
The headlines are ominous. 61 US tech “unicorns” (private company with >$1bn valuation). 75% of the largest VC investments have been raised in the last 5 years. So, what’s going on?
Source: Capital IQ, CB Insights, a16z
1 Companies are
staying private longer.
19
20
Time to IPO is significantly elongated
Source: Jay Ritter
vs. vs. vs. 11 Years in 2014
7 Years pre-bubble
10 Years post-bubble
4.5 Years in the bubble
2 Quasi-IPOs are replacing real IPOs
21
22
0
2
4
6
8
10
12
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Aggregate funding for top 20 US tech private deals ($bn, 2014 dollars)
Yes, there is more funding for larger deals The top 20 private deals have suddenly become very large
Source: Capital IQ, a16z
23
0
2
4
6
8
10
12
14
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Aggregate funding for top 20 US tech deals ($bn, 2014 dollars)
But, this is just a rebalancing from IPOs The top 20 deals used to be mostly IPOs – now they’re almost all private
Source: Capital IQ, a16z
IPO
Private
24
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1980 1985 1990 1995 2000 2005 2010
US tech IPO & private funding
IPOs used to be the norm – but no more For most of the ‘90s the majority of tech funding was public – this has reversed
Source: Capital IQ, Jay Ritter, University of Florida, NVCA, a16z
IPO
Private
2014
25
0
50
100
150
200
250
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Median revenue at IPO ($m, 2014 dollars)
The bar for an IPO is now much higher It used to be routine to hit $20m revenues and go public – not any more
Source: Jay Ritter, University of Florida
26
0
10
20
30
40
50
60
70
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
US tech IPO vs. quasi-IPO late-stage rounds ($bn, 2014 dollars)
Mix shifted from IPO to late-stage rounds Quasi-IPOs are now 75% of investment dollars vs. 40% in the bubble
Source: Capital IQ, a16z
Private $40m+
IPO
27
0
20
40
60
80
100
120
140
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
US tech IPO versus quasi-IPO late stage rounds ($bn, 2014 dollars)
Public and private tech funding merge And at modest levels – even combining public and private financing
Source: Capital IQ, a16z
Private $40m+
Private $1-40m
IPO
28
0
20
40
60
80
100
120
140
1997 1998 1999 2000 2011 2012 2013 2014
US IPO and private tech funding by round size ($bn, 2014 dollars)
The funding surge is in late-stage only The funding explosion in 1999-2000 was at every stage – in 2014 it isn’t
Source: Capital IQ, a16z
Private $40m+
Private $1-40m
IPO
29
0
5
10
15
20
25
0 1 2 3 4 5 6 7 8 9 10+
Total private + IPO funding by company age at funding, 1995-2014 ($bn, 2014 dollars)
Which is a good thing The bubble saw a surge of funding of very young companies that’s not been repeated
Source: Capital IQ, a16z
1999–2001
2012–2014
30
0
10
20
30
40
50
60
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Total US tech funding by age cohort ($bn, 2014 dollars)
55% of bubble $ to <2 year old companies Versus 80% of current funding going to +3-year-old companies
Source: Capital IQ, a16z
0-2 years old +3-year-old
Why the shift from IPOs to Quasi-IPOs?
32
Initially out of necessity - post-bubble nuclear winter + GFC.
33
But, now out of desire
34
What’s behind this desire to stay private?
Source: Capital IQ, a16z
• It’s hard to be a (small cap) public company
• The “growth mantle” has been passed to the private market
35
The “tech inversion” – large cap incumbents
Source: Capital IQ, a16z
• ~$2.6 trillion market cap in little/no growth incumbents
• The (un)holy marriage of activists and value investors
36
The “tech inversion” – IPO, new incumbents
Source: Capital IQ, a16z
• ~$750 billion market cap created by ‘10-’15 IPOs
• But, 2/3 = Facebook / Alibaba
37
The “tech inversion” The “buy in the last round pre-IPO” strategy is generally working
Source: Capital IQ, a16z
• Averaging down cost basis (mostly)
• Implicit call option at IPO allocation
• Implicit put option on IPO pricing (e.g., Hortonworks, New Relic, Box, Zendesk)
38
Thus, as returns migrate to private markets Tech returns used to be in public markets – have now shifted to private
* Market cap at IPO. Source: Capital IQ
0%
20%
40%
60%
80%
100%
Apple (1980)
Microsoft (1986)
Oracle (1986)
Amazon (1997)
Google (2004)
Salesforce (2004)
LinkedIn (2011)
Yelp (2012)
Facebook (2012)
Twitter (2013)
Private versus public market value creation for select public US tech companies
Public value creation* Private value creation
39
Almost all the returns are now private Old world tech giants returned plenty in public markets – new ones have not
Note: see endnotes for methodology. Source: Capital IQ, Pitchbook, Quora, a16z
0x
200x
400x
600x
800x
1000x
1200x
Apple (1980)
Microsoft (1986)
Oracle (1986)
Amazon (1997)
Google (2004)
Salesforce (2004)
LinkedIn (2011)
Yelp (2012)
Facebook (2012)
Twitter (2013)
Private versus public market return multiples for select public US tech companies
Public value creation Private value creation
40
0
10
20
30
40
50
Facebook (2012)
Twitter (2013)
LinkedIn (2011)
Yelp (2012)
Implied market cap with similar post-IPO returns to Microsoft ($tr)
And you can’t make it back by waiting For Facebook to match Microsoft’s public market returns, it would need to be worth $45tr
Note: Calculated from market cap at first close post-IPO. Source: Capital IQ, BEA
Current US GDP
41
0
5
10
15
20
1998 2000 2002 2004 2006 2008 2010 2012 2014
Number of top 20 US tech deals with participation from non-traditional investors
Investors are following suit Non-traditional private investors drive growth rounds
Source: Capital IQ, a16z
42
And more capital is likely to continue to flow into the private markets
43
The VC half-truth
Source: Capital IQ, a16z
• Half-truth: It’s cheaper to start a company today
• But also true: It’s more expensive to win … and the money is needed earlier in a company’s lifecycle
• And, most importantly, the payoff from winning is larger than ever!
Meanwhile, back in venture capital…
45
0
20
40
60
80
100
120
1970 1975 1980 1985 1990 1995 2000 2005 2010
US tech VC fund inflows ($bn, 2014 dollars)
No surge in VC fundraising
Source: NVCA, a16z
VC funding is growing moderately
2014
46
VC inflows are modestly higher But well below the Bubble excesses
Source: NVCA; inflation adjusted
vs. vs. vs. $26B in 2014
$19B median in ‘08-’13
$62B in 1999
$99B in 2000
47
And relative to output, fundraising is down VC funding as a percentage of tech GDP is down by half from 1980
Note: Value-added Tech GDP used for Tech GDP. Source: BEA, NVCA, a16z
0%
3%
6%
9%
12%
15%
18%
1980 1985 1990 1995 2000 2005 2010
US tech VC fund inflows as % of tech GDP
2014
48
0
20
40
60
80
100
120
140
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Dollars raised by round cohort and year ($bn, 2014 dollars)
Large rounds raise lots of money (obviously) Overall dollars raised are dominated by quasi-IPOs (which arguably aren’t even really VC)
Source: Capital IQ, a16z
Private $40m+
Private $25-40m
IPO
Private $10-25m
Private $1-10m
49
0
10
20
30
40
50
60
70
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Dollars raised by round cohort and year ($bn, 2014 dollars)
Funding looks more moderate elsewhere The total money going into deals under $40m is back to 2001 levels
Source: Capital IQ, a16z
Private $25-40m
Private $10-25m
Private $1-10m
50
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Companies raising rounds by round cohort and year (000s)
Late-stage is a small part of the ecosystem But things are changing elsewhere, as the number of companies raising capital has doubled since 2009
Source: Capital IQ, a16z
Private $40m+
Private $25-40m
IPO
Private $10-25m
Private $1-10m
51
0%
50%
100%
150%
200%
250%
300%
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Indexed US tech funding for $1m-$40m rounds (2014 dollars)
More rounds, smaller rounds 2.5x more rounds while the round size dropped by a third – the mix is shifting
Source: Capital IQ, a16z
Average round size
Number of rounds
Aggregate $ raised
52
0
200
400
600
800
1,000
1,200
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Number of rounds by cohort
Cheaper to start companies = seed growth $1-2m rounds have increased over 7x in the last decade (and this data probably doesn’t capture all of them)
Source: Capital IQ, a16z
$3-6m rounds
$1-2m rounds
53
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Aggregate US tech investment by round size cohort ($bn, 2014 dollars)
But absolute seed dollars remain small Amount raised in $1-2m rounds is up 7x over 10 years, but still only $1.1bn (~5% of all sub-$40m deal funding)
Source: Capital IQ, a16z
$1-2m rounds $3-6m rounds
54
0
500
1,000
1,500
2,000
2,500
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Number of US tech deals by company age at round
Deal volume is back up… More tech companies are being created
Source: Capital IQ, a16z
0-2 years old +3-year-old
55
0%
50%
100%
150%
200%
250%
300%
350%
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Indexed US tech funding for 0-2 year old companies (2014 dollars)
…As the cost of company creation is falling
Source: Capital IQ, a16z
Average round size
Number of rounds
Aggregate $ raised
56
Less money, more money Which one do you want to believe? Both!
Order of magnitude reduction in the cost of creating a software company
Shift from expensive hardware and software to cloud, open source, GitHub, etc.
So, more company creation, more rounds, smaller round sizes
The seed surge
It’s never been cheaper to create software companies
Funding is cheap
But scaling to address 3bn people is not
War for talent (and office space) in SF
Round sizes for hot deals have moved upwards
But scaling to address the opportunity costs money
What could possibly go wrong?
58
Some potential guideposts
Source: Capital IQ, a16z
• IPO volume/maturity
• Private funding/maturity
• LP inflows (and quality)
• Tech’s valuation & contribution to GDP/S&P 500
59
And, of course, global macro!
60
741
374 369
277 212 199 171 151 151 145
111 77
40 38 29
0
100
200
300
400
500
600
700
800
Market Cap ($bn)
In the meantime – if you are investing for growth – what would you rather own?
Note: Market cap data as of 6/5/15. Source: Capital IQ, CB Insights
All 61 $1bn+ US tech
“unicorns” as of 6/9/15
All $1bn+ US tech
“unicorns” ex Uber
61
A note on data
Sharing the perspectives and analyses presented in this deck required a time series of overall funding. However, there is no source of comprehensive (let alone granular) deal-level data that goes back before the late 1990s. Therefore, we were obliged to vet and combine incomplete data from multiple sources.
Where some data sets were more comprehensive on broad parameters but limited in historical range, others were broader than our definitions of software tech (e.g., they included medical devices). There were other screening differences as well; for example as larger deals became more commonplace but were not referred to as “venture” funding, we looked to a different source that would allow us to roll up that deal-level data as shown in this deck.
To ensure as much rigor as possible in sourcing our data, we compared data from several sources against each other and then collated and de-duped it into a master data set for a few years which we then checked for accuracy across each of those sources to determine the best ones. While there are many caveats (and counterarguments!) we could make about the data given various tradeoffs, here are some of the key things to note when reviewing this deck:
1. Historical transaction-level data is much more robust after 1996 than before it. We also had to fuse together different data sets, using Jay Ritter & NVCA before 1996 and Capital IQ after 1996 and merging them at the join.
2. The data set for age at funding is not complete and becomes less complete the further back we go, especially before 1996. From 1998 to 2001 we are also missing founding year data for 20% of deals, versus 3% for later deals. The missing companies will skew heavily to small and/or young companies, so adding this data would show an even greater swing than the one we point to in this presentation.
Notes for slide 30: Microsoft, Oracle & Amazon Series A valuations assumed at $3m for illustrative purpose; Series A to IPO represents return multiple from Series A valuation to market cap at first close post-IPO