Tag Archives: 600 startups

What to expect from an investor?

I am again taking advantage of the questions asked to me to write a post (after the one on the impact of the personality of founders on the success of startups). I could have titled this post “what do investors expect?”, I look here at both subjects.This time, I even copy a part of the message I received:

Context: Just to share with you the dynamics of investors (very early stage) who look at my project. I have received 10+ requests, sometimes from investors who want to make an initial contact call (to follow developments in typically 6 months). Some display their investment thesis upfront (sometimes stratospheric expectations). I try not to waste too much time with such requests, to focus on my product (and Product-Market-Fit – PMF, *the priority*!), but what do you think of this typology of investors? Very early, who favor the blank page vs. PMF but with enormous expectations (100x potential ROI).
(I know that several entrepreneurs are experiencing a bit of the same thing at the moment). I can’t imagine how a founder can calmly seek his or her PMF having onboarded this type of VC and under their pressure (100x and not 10 or 20x!)…
Questions :
1) Are they intrinsically better or worse than more “common” funders (5x-7x under ~5 years, or 10x under 7-10 years)? (I’m exaggerating on purpose, of course).
2) The less-pressing alternative would be a collection exclusively made up of BAs and/or BA-Networks, but does the absence of institutional SEED investors send a bad signal to VCs? A sign of too little ambition? A potential lack of initial attractiveness?
3) There is a strong trend towards “leaner startups” which give less and less equity in pre-seed / seed (including to YC). However, institutional investors often want a double-digit equity share. What is your vision/experience in European VCs? Is leaner (equity shared) better or less attractive? Many startups (even at YC) do not give more than 10% of total equity across the SEED round (+ the initial 7% from YC, or other more or less equivalent SAFEs).

I answered a little quickly like this and I’m going to add a little more, notably a new update: an update of my pdf of cap tables, which includes more than 900 companies now…

This is a true wrong question! But I’m not an entrepreneur, I’m a mentor!
The main thing is the added value of your investor in two dimensions:
– the amount invested,
– the quality of advice.
We could almost say that if one of the two dimensions is zero then the other must be very high, and we can therefore accept that one is weak.
You dream of having a renowned VC or BA (her name and her credibility), this undoubtedly has a price!
Then the lower the amount, the greater the expected multiple. If you put 10k you hope to make x1000, if you put 100K you hope to make x100 if you put 1M you hope to make x10.
In reality it’s more a question of stage, in series D, E, F, it’s probably 2x-3x, in A, B it’s 10x, in seed, it’s 100x, in pre-seed it’s 1000x
– Google had David Cheriton and Andy Bechtolsheim as BAs, they put in 100k, I think they made 400M…
– Sequoia and KP put in $12M and made $2B
(see page 47 of the pdf, $85/$0.06 and $85/$0.52 for the multiples at the IPO but they sold at least six months later and I think it was worth at least 3x or 4x more)
On the last point, it’s not easy either, but Stanford had around 2% of Google at the time of creation, which is unusually low and it is paradoxically their biggest grain, we can see the diversity of criteria.

So let me add a couple of points. I thought Paul Graham (YCombinator) would have provided answers on his blog paulgraham.com but did not find an answer. Howver he keeps on writing great things like:
– How to start Google (March 2024) https://paulgraham.com/google.html
– Superlinear returns (October 2023) https://paulgraham.com/superlinear.html

The two figures that follow illustrate the explanations above. The pdf therefore gives more than 900 cap tables which can illustrate the diversity of multiples (theoretical at the IPO).
Finally, it is still quite rare for an investor to contact an entrepreneur directly (even if it can also happen). The contact is rather established by a third party who knows both the entrepreneur and the institutional investor, for example the Business Angel or the mentor…

Finally, the percentage given in return for an investment is not linear either. It depends on the stage of development of the company of course but on the amount itself!
– for 100k, we typically give 5-15%,
– for 1M it’s more like 40%,
– for 10M and more we fall back to amounts of around 10%.
This may seem counterintuitive and it shows that the percentages are not the result of accounting but of negotiations.
I add two recent French startup cap tables, Mistral AI and H.ai which show that exceptional fundraising leads to exceptional valuations and therefore unusual percentages. These were built with assumptions given my media or data from company documents.

The BA, business angel, is a wealthy individual who invests his own money (generally at least 100k per startup). Below we are talking more about F&F – Friends & Family.
VC (venture capital) invests third party money (pension funds, companies, banks, insurance companies, very wealthy individuals) generally with a minimum of 1 million per startup.
PE, private equity, is an institutional investment firm which takes less risk (even if the companies are not listed but generally profitable or with stable turnover). They invest large amounts but do not expect returns on investment as high as the VC.

Equity_List-Herve_Lebret-June_2024

Female founders – an analysis from 800 (former) startups

I just decided to add a new analysis to my recent study of 800 (former) startups. Although the topic is an important one in high-tech entrepreneurship, I had never looked at it except anectoticaly in the posts with the tag #women-and-high-tech.


Eight female founders or entrepreneurs. I am not sure how many I would have automatically recognized. And you?

And here are the results I found. My apologies in advance as this work is far from perfect: I tried to identify female founders from their name and this is not always easy. I believe however I cannot be too far from the exact results.

So what does this say?

– There are 76 female founders in 825 companies, which says 9% of these former startups had a female founder. Now to make it worse, the total number of founders identified is 1644.
– It is in the biotech field, that they are most represented (hence Boston, Switzerland, California outside Silicon Valley)
– The good news is that the number is up to 15% for the last decade. Still…
– Now there are only 31 female CEOs, this is only 4% (remember that founding CEOs are a little more than 60% so this is even worse as some of these female CEOS are not even founders – see here if you don’t know what I am talking about). In fact, 20 of these women were founders and 11 were not…

Updated data in equity of 800 (former) startups

As you might know, I regularly compile capitalization tables from companies which filed to go public or were acquired with shareholder data. The last time I published posts about it was in April 2020 with 600+ such tables. I have now more than 800.

I just posted two articles using these updated data:
– The age of founders and non-founding CEOs on August 4,
https://www.startup-book.com/2021/08/04/the-age-of-founders-and-non-founding-ceos/.
– Employee ownership in startups – The stock option millionaire on August 6, https://www.startup-book.com/2021/08/06/employee-ownership-in-startups-the-stock-option-millionaire/.

The content is as follows:
– Individual cap tables: pages 8-834.
– Updated statistics: pages 835-850.
– Table of content: pages 851-860.

I do not plan to do a new analysis. The one with 600 was rich enough I think. Still the individual cap table are available here:
Equity List 800 Startups – Lebret – Aug2021

or on Scribd but you might need an account to fully benefit from them.

Here is the link to the document or to more similar ones on my Scribd account.

Another quick look at data on public tech companies : loss, loss and more loss? (2/2)

Following the initial post introducing the topic of loss (see here), here is the promised of profit/loss of 168 IT companies (software, internet, ecommerce) extracted from the 787 companies mentioned before. You will find at the end of the post the full list of companies with their IPO year, profit at IPO, in 2019, and in 2020. So are these companies losing or making money?

Here are some results, but be careful, they are not statiscally relevent and not a proof of anything, but I hope an interesting illustration: in the 90s, the companies going public seem to be profitable, then the companies seem to be losing money at IPO ine th 21st century, with the exception of the famous outliers that Google, Facebook or Alibaba have become. These were profitable at IPO. The following table gives the average values by year of listing.

More recently, beginning in 2015, the companies are (on average) losing money at IPO but also in 2019 and 2020. Following a comment on LinkedIn that I copied in the comments below, I agree that the averages are misleading if outliers hide the number of profit or loss making companies. So here is the table of the number of profit making companies per IPO year:

Again, if you want to look at the performance of individual companies, check the table below. And as a kind of conclusion, all this reminds me a great article from the New Yorker that you may like: How Venture Capitalists Are Deforming Capitalism

 

 

Start-up Founded IPO Income at IPO Income 2020 Income 2019
Airbnb Jun-08 Nov-20 -674        -4 584           -674
Accolade Jan-17 Feb-20 -56             -50           -290
Adobe Dec-82 Aug-86 1         5 260         2 951
Adyen Nov-06 Jun-18 71            261            204
Affirm Jun-12 Nov-20 -112           -124           -134
C3.ai Jan-09 Dec-20 -70             -69             -33
Akamai Aug-98 Nov-99 -28            557            478
Anevia Jun-03 Jun-14 0,03               -1
Wallix Group Oct-03 Jun-15 0               -7               -6
Visiativ May-94 Jul-14 0                1                3
AmWell Jun-06 Aug-20 -88           -224             -87
Amazon Jul-94 May-97 -5       21 581       11 388
Ansys Jun-70 Jun-96 -1            433            451
Applovin Jul-11 Mar-21 -125           -125              76
Asana Dec-08 Aug-20 -118           -211           -118
Avalara Aug-99 May-18 -64             -49             -50
Avast Plc Oct-88 Oct-18 -33            240            352
Alibaba Jun-99 Nov-07 40       24 049       23 882
BrightCove Aug-04 Feb-12 -17               -6             -22
Baidu Jan-00 Aug-05 1         3 596            317
BigCommerce Jun-09 Aug-20 -42             -38             -41
BiliBili Jun-09 Mar-18 -28           -482           -206
Bill.com Jun-07 Nov-19 -7             -31               -7
Box Apr-05 Mar-14 -168             -43           -144
Chegg Jul-05 Oct-13 -49               -6               -9
Checkpoint Jul-93 Jun-96 15            846            825
Coinbase Jun-12 Feb-21 322            322             -30
Compass Oct-12 Mar-21 -270           -270           -388
Coursera Oct-11 Mar-21 -66             -66             -46
Coupang May-10 Mar-21 -474           -593           -770
Salesforce.com Feb-99 Jun-04 -9            455            463
Criteo Nov-05 Mar-13 12            106            135
CrowdStrike Aug-11 May-19 -140             -92           -141
Castlight Health Jan-08 Mar-14 -62             -62             -40
Casper Sleep Oct-13 Jan-20 -98             -89             -93
Citrix Apr-89 Dec-96 2            504            681
Cyber-Ark Soft. Apr-99 Jun-14 7               -5              63
DoorDash May-13 Nov-20 -668           -461           -667
Dropbox May-07 Feb-18 -111           -256             -52
Datadog Jun-10 Sep-19 -10             -24             -16
Delivery hero May-11 Jun-17 -202        -1 404           -680
DigitalOcean Dec-11 Feb-21 -43             -43             -40
Docusign Apr-03 Mar-18 -115           -243           -208
Domo Sep-10 Jun-18 -176             -84           -125
Electronic Arts May-82 Aug-89 5            837         1 000
Eventbrite May-03 Sep-18 -38           -224             -68
eBay May-96 Sep-98 -1         2 150         1 786
eGain Corp. Sep-97 Sep-99 -11                7                4
Elastic NV Feb-12 Sep-18 -52           -167           -102
Facebook Jul-04 Feb-12 1 000       32 671       24 932
Funding Circle Aug-10 Sep-18 -38           -154           -120
1-800-Flowers Aug-76 Aug-99 3              58              34
Flywire Jul-09 May-21 -11             -15             -17
Jfrog Ltd Apr-08 Aug-20 -5               -9               -5
Fastly Mar-19 Apr-19 -30           -105             -45
F-secure Dec-88 Nov-99 1              17                5
Farfetch Oct-07 Sep-18 -112        -3 200           -353
Fiverr International Apr-10 Jun-19 -36             -11             -34
Go Daddy Jan-97 Jun-14 -199           -404            218
Globant SA Aug-13 Aug-13 -1              85              74
Google Sep-98 Aug-04 105       48 217       39 725
Groupon Jan-08 Jun-11 -413           -260              10
GrubHub Feb-04 Apr-14 15           -147               -6
Guidewire Sep-01 Jan-12 35               -6              29
HelloFresh Oct-11 Nov-17 -15            405                1
The Honest Co Jul-11 Apr-21 -14             -13             -31
Hubspot Apr-05 Aug-14 -34             -43             -27
JD.com Nov-06 May-14 -50         8 311         2 307
KnowBe4 Aug-10 Mar-21 -2               -1           -124
LendingClub Oct-06 Dec-14 7           -187             -30
Lemonade Jun-15 Jun-20 -108           -122           -108
Lyft Inc. Mar-07 Mar-19 -910        -1 764        -2 702
Medallia Jul-00 Jun-19 -82           -138           -114
Mimecast Mar-03 Oct-15 1              34                4
Model N Dec-99 Mar-13 -5               -6             -15
Mogu Feb-11 Nov-18 -81           -110             -92
Momo Nov-11 Nov-14 -8            476            552
Marin Software Mar-06 Mar-13 -26             -16             -17
Microsoft Jan-75 Mar-86 24       56 627       46 374
nCino Dec-11 Jun-20 -27             -40             -28
CloudFare Jul-09 Aug-19 -87           -100           -103
Netflix Aug-97 May-02 -37         4 585         2 688
Nuance Comm Jul-94 Apr-00 -18            103            145
Xing / New Work Aug-03 Dec-06 -1              41              53
Okta Jan-09 Mar-17 -76           -193           -183
Olo Jun-05 Feb-21 3                3               -8
OneMedical Jul-02 Jan-20 -44             -76             -53
ON24 Jan-98 Jan-21 -17              21             -16
OpenDoor Tech. Mar-14 Dec-20 -339           -218           -229
Oracle Jun-77 Mar-86 2              14              14
Oscar Health Oct-12 Feb-21 -405           -402           -259
Overstock.com May-97 Jun-02 -14              49           -134
Procore Jan-02 Feb-20 -83             -95             -82
PagerDuty Feb-09 Mar-19 -38             -62             -49
Pinduoduo Apr-15 Jul-18 -83        -1 040        -1 096
PDF Solutions Nov-92 Jul-01 -9             -16               -7
Phreesia Feb-05 Jun-19 -15             -25             -15
Pinterest Oct-08 Apr-19 -62           -126        -1 358
Anaplan Jun-08 Oct-18 -47           -153           -148
Palantir Jun-03 Aug-20 -579        -1 164           -564
Poshmark, Inc. Jan-11 Dec-20 -49              23             -49
PluralSight Jun-04 Apr-18 -96
Pintec Jul-12 Jul-18 -13           -137           -728
PubMatic Nov-06 Dec-20 7              31                8
Paypal Dec-98 Feb-02 -130         5 274         3 113
Qad Inc Aug-79 Aug-97 1              11               -2
QuinStreet Apr-99 Feb-10 17              19              11
Qutoutiao Jun-16 Sep-18 -14           -171           -324
Coupons.com May-98 Feb-14 -59             -50             -22
Roblox Mar-04 Nov-20 -86           -266             -76
Redfin Oct-02 Jun-17 -22                1             -71
Renren Oct-02 May-11 -62             -95           -141
RealNetworks Feb-94 Nov-97 -4               -5             -19
Deliveroo Aug-12 Mar-21 -312           -323           -453
Rovio Nov-03 Nov-07 10              41              18
Rapid7 Jul-00 May-15 -32             -72             -40
Shopify Sep-04 Nov-15 -22            249           -141
SmartSheet Jun-05 Mar-18 -49           -120           -103
Snap Inc Jul-10 Feb-17 -514           -828        -1 000
SnowFlake Jul-12 Aug-20 -348           -543           -358
Splunk Inc Oct-03 Apr-12 -10           -777           -235
Spotify Dec-06 Feb-18 -1 606           -655             -88
Sprout Social Apr-10 Oct-19 -20             -31             -46
Square Jun-09 Oct-15 -154            272              26
Swissquote Aug-99 May-00 -2              91              44
Squarespace Oct-07 Apr-21 30              32              65
StoneCo Mar-14 Oct-18 -27            279            274
Sumo Logic Mar-10 Aug-20 -92             -78             -91
SurveyMonkey Mar-00 Sep-18 -24             -80             -62
Teladoc Jun-02 Jun-15 -17           -515             -80
ThredUp Jan-09 Mar-21 -47             -46             -36
Atlassian Oct-02 Dec-15 6           -296           -565
Tenable Sep-02 Jul-18 -41             -36             -90
Talend SA Sep-05 Jul-16 -22             -70             -58
TrustPilot Feb-07 Mar-21 6             -15             -29
Tufin Software Jan-05 Mar-19 -4             -33             -27
Tuya Jun-14 Feb-21 -70             -69             -73
Twilio Mar-08 Jun-16 -35           -472           -369
2U Apr-08 Feb-14 -27           -190           -241
Twitter Jun-06 Nov-13 -79            101            528
Unity Software Aug-04 Aug-20 -163           -274           -150
Uber Jul-10 Apr-19 987        -6 488        -7 874
Upland Jul-10 Sep-14 -9            100              90
Upstart Feb-12 Nov-20 -5                6               -1
Upwork Dec-99 Oct-18 -4             -21             -15
VipShop Holding Aug-08 Mar-12 -156         1 134            804
Vroom, Inc. Jan-12 Jun-20 -143           -193           -128
Verisign Apr-95 Feb-98 -19            837            849
Wayfair May-02 Aug-14 -11            351           -929
WorkDay Mar-05 Oct-12 -79           -206           -423
Windeln Oct-10 May-15 -8             -13             -14
Wisekey Feb-99 Mar-16 -33             -27             -21
Wish Jun-10 Nov-20 -129           -631           -144
X financial Mar-14 Sep-18 51        -1 308            774
Yelp Sep-04 Mar-12 -16             -34              35
Yext Nov-06 Mar-17 -26             -93           -120
Yandex Sep-97 May-11 100            554            321
YY Apr-05 Oct-12 -12            102            716
Zillow Dec-04 Jul-11 -6             -14           -207
Zalando Feb-08 Oct-14 -113            377            175
Zendesk Aug-07 May-14 -22           -169           -141
Zhihu Dec-10 Mar-21 -79             -96           -169
ZipRecruiter Jun-10 Apr-21 63              65               -5
Zoom Video Apr-11 Mar-19 7            659              12
Zynga Oct-07 Aug-11 90           -375              64
Zscaler Sep-07 Feb-18 -35           -107             -35
Zuora Sep-06 Mar-18 -46             -73             -85

Another quick look at data on public tech companies : loss, loss and more loss? (1/2)

I was motivated a few days ago to look at the work I have been doing for years on public tech. companies, their cap. tables, their overall financial performance. If you do not know what I am talking about, you can have a look at my past analyses on 600, then 700 companies through the tag 600 (former) startups. I’ve now 787 such cap. tables.

It’s been known that there are differences with fields such as biotech. vs. software/internet. About biotech, check Are Biotechnology Startups Different? Regarding software, and more specifically Internet or ecommerce companies, I have not done a similar analysis but I began to notice a while ago that these companies were also money-losing companies at IPO. In the past, you were only going public in IT when you were beginning to be profitable. This was more than 20 years ago! The recent argument for going public while losing money was that these companies would make a profit once they have reached a threshold in size. Amazon was not profitable for many years after its IPO.

But isn’t that argument flawed? Will Uber or AirBnB and similar platform companies ever make a profit? Too early to say and the future is unpredictable. But I thought I would look at the current situation of my 787 companies and have a quick look. So before studying the profit profile of IT companies (this will be in part 2, my next post), here are the basics. There is a total of 435 public companies –  353 companies have been acquired, liquidated (315) and a few are still private (37). My next post should follow soon.

Market Cap # $B
$1T 4 7’253
$100B 17 5’274
$10B 88 3’273
$1B+ 168 623
<$1B 150 55
Total 427 16’478

These numbers again show the power law distribution (and not Gaussian) and here is the long list of names for those interested:

$1,000B+ $100B+ $10B+ $1B+
Amazon Adobe Inc. 10x Genomics, Inc. 1-800-FLOWERS.COM, Inc.
Apple Alibaba Group Advanced Micro Devices, Inc. 1Life Healthcare, Inc.
Google Amgen Inc. Adyen N.V. 2U, Inc.
Microsoft Cisco Systems, Inc. Affirm Holdings, Inc. 8×8, Inc.
Facebook, Inc. Airbnb, Inc. 908 Devices Inc.
Intel Corporation Akamai Technologies, Inc. AbCellera Biologics Inc.
JD.com, Inc. Alnylam Pharmaceuticals, Inc. ACADIA Pharmaceuticals Inc.
Netflix, Inc. ANSYS, Inc. Acceleron Pharma Inc.
NVIDIA Corporation AppLovin Corporation Accolade, Inc.
Oracle Corporation Arista Networks, Inc. Adaptive Biotechnologies Corp
PayPal Holdings, Inc. Atlassian Corporation Plc Agios Pharmaceuticals, Inc.
Pinduoduo Inc. Avalara, Inc. Alector, Inc.
salesforce.com, inc. Baidu, Inc. Aligos Therapeutics, Inc.
Shopify Inc. Bilibili Inc. Allogene Therapeutics, Inc.
Square, Inc. Bill.com Holdings, Inc. AlloVir, Inc.
Tesla, Inc. BioNTech SE American Well Corporation
Xiaomi Corporation Check Point Software Amyris, Inc.
Chegg, Inc. Anaplan, Inc.
Citrix Systems, Inc. Arcutis Biotherapeutics, Inc.
Cloudflare, Inc. Asana, Inc.
Coinbase Global, Inc. Asetek A/S
Coupang, Inc. Avast Plc
CrowdStrike Holdings, Inc. Axonics, Inc.
CureVac N.V. Beam Therapeutics Inc.
Datadog, Inc. Berkeley Lights, Inc.
Delivery Hero SE Beyond Meat, Inc.
DocuSign, Inc. BigCommerce Holdings, Inc.
DoorDash, Inc. BlackBerry Limited
Dropbox, Inc. Bloom Energy Corporation
eBay Inc. bluebird bio, Inc.
Elastic N.V. Blueprint Medicines Corp
Electronic Arts Inc. Box, Inc.
Enphase Energy, Inc. C3.ai, Inc.
Equinix, Inc. (REIT) C4 Therapeutics, Inc.
F5 Networks, Inc. Ciena Corporation
Farfetch Limited Cimpress plc
Fortinet, Inc. Cirrus Logic, Inc.
Garmin Ltd. Compass, Inc.
GoDaddy Inc. ContextLogic Inc.
HelloFresh SE Corcept Therapeutics
Horizon Therapeutics Coursera, Inc.
HubSpot, Inc. CRISPR Therapeutics AG
Illumina, Inc. Criteo S.A.
Intuitive Surgical, Inc. CyberArk Software Ltd.
Jazz Pharmaceuticals plc Deliveroo plc
Lam Research Corporation Denali Therapeutics Inc.
Logitech International S.A. Design Therapeutics, Inc.
Lyft, Inc. Dicerna Pharmaceuticals, Inc.
Marvell Technology, Inc. DigitalOcean Holdings, Inc.
Micron Technology, Inc. Domo, Inc.
Moderna, Inc. Eargo, Inc.
NIO Inc. Edgewise Therapeutics, Inc.
Nuance Communications, Inc. Editas Medicine, Inc.
Okta, Inc. Enanta Pharmaceuticals, Inc.
Palantir Technologies Inc. Eventbrite, Inc.
Palo Alto Networks, Inc. Exelixis, Inc.
Pinterest, Inc. Extreme Networks, Inc.
Procore Technologies, Inc. Fastly, Inc.
Qorvo, Inc. Fate Therapeutics, Inc.
QuantumScape Corporation FireEye, Inc.
Roblox Corporation Five Prime Therapeutics, Inc.
Seagen Inc. Fiverr International Ltd.
Snap Inc. Flywire Corporation
Snowflake Inc. FormFactor, Inc.
SolarEdge Technologies, Inc. Generation Bio Co.
Splunk Inc. Gevo, Inc.
Spotify Technology S.A. Glaukos Corporation
StoneCo Ltd. Globant S.A.
Synopsys, Inc. GoPro, Inc.
Teladoc Health, Inc. Gracell Biotechnologies Inc.
Tuya Inc. Groupon, Inc.
Twilio Inc. Grubhub Inc.
Twitter, Inc. Guidewire Software, Inc.
Uber Technologies, Inc. Idorsia Ltd
Unity Software Inc. Inari Medical, Inc.
Upstart Holdings, Inc. Infinera Corporation
VeriSign, Inc. InMode Ltd.
Vipshop Holdings Inogen, Inc.
Wayfair Inc. Inphi Corporation
Workday, Inc. Inspire Medical Systems, Inc.
XPeng Inc. Instil Bio, Inc.
Yandex N.V. Intellia Therapeutics, Inc.
Zalando SE iRobot Corporation
Zendesk, Inc. Ironwood Pharmaceuticals, Inc.
Zillow Group, Inc. JFrog Ltd.
Zoom Video JOYY Inc.
Zscaler, Inc. Juniper Networks, Inc.
Zynga Inc. Karuna Therapeutics, Inc.
Keros Therapeutics, Inc.
Kymera Therapeutics, Inc.
Lemonade, Inc.
LendingClub Corporation
MacroGenics, Inc.
MaxLinear, Inc.
Medallia, Inc.
Mimecast Limited
Model N, Inc.
Momo Inc.
NanoString Technologies, Inc.
Natera, Inc.
nCino, Inc.
New Work SE
nLIGHT, Inc.
Nutanix, Inc.
Olo Inc.
ON24, Inc.
Opendoor Technologies Inc.
Oscar Health, Inc.
Overstock.com, Inc.
PagerDuty, Inc.
Phreesia, Inc.
Pluralsight, Inc.
Poshmark, Inc.
Power Integrations, Inc.
Prelude Therapeutics Inc
PTC Therapeutics, Inc.
PubMatic, Inc.
Pulmonx Corporation
Pure Storage, Inc.
QAD Inc.
Qualys, Inc.
Quotient Technology Inc.
Rambus Inc.
Rapid7, Inc.
Recursion Pharmaceuticals, Inc.
Redfin Corporation
Revolution Medicines, Inc.
Ribbon Communications Inc.
Rubius Therapeutics, Inc.
Sana Biotechnology, Inc.
Sangamo Therapeutics, Inc.
Schrödinger, Inc.
Seer, Inc.
Silicon Laboratories Inc.
Smartsheet Inc.
Soitec S.A.
Sonos, Inc.
Sprout Social, Inc.
Squarespace, Inc.
Stoke Therapeutics, Inc.
STORE Capital Corporation
Sumo Logic, Inc.
Sunrun Inc.
Supernus Pharmaceuticals, Inc.
SVMK Inc.
Swissquote Group Holding Ltd
Synaptics Incorporated
Talend S.A.
Tandem Diabetes Care, Inc.
Tenable Holdings, Inc.
The Honest Company, Inc.
ThredUp Inc.
Trustpilot Group plc
Turning Point Therapeutics, Inc.
Upland Software, Inc.
Upwork Inc.
Vaxcyte, Inc.
Veracyte, Inc.
Viasat, Inc.
Vroom, Inc.
Xencor, Inc.
Xperi Holding Corporation
Yelp Inc.
Yext, Inc.
Zhihu Inc.
ZipRecruiter, Inc.
Zuora, Inc.
Zymergen Inc.

A major update : data about 700+ startups

I regularly compile data about startups, mostly when they file to go public, when I can use their IPO prospectus (typically S-1 or 424B4 documents on Nasdaq). Thanks to a rush of IPOs this year (despite the covid) but also by revisiting older filings thanks to Jay Ritter great database of 11000+ IPOs since 1975, I could recently increase my own (much smaller) database of cap tables to 716 former technology startups (from 600 startups last April). This is a 20% or so increase, so it is quite a major update. Here is the document of all individual cap. tables:
Equity List – Lebret – Nov2020

You may prefer to download the pdf. And before reading the rest of the post, you may be interested in the analysis of the 600 startups last April : Updated data in equity of 600 (former) startups.

I will not go into the details of the data analysis, which would no doubt be similar to the 600 startups of last April. You can find the new stats beginning page 729 of the pdf. The evolution of the figures by period of 5 years is striking. It undoubtedly shows in part the evolution of the importance of technology but also the influence of venture capital in growth strategies. For better or for worse as I said in my previous article and as Philippe Labouchère said very well in Le Temps: These mega-investments that distort reality (Ces méga-investissements qui déforment la réalité).

Don’t be misled by the drop in the 2015 period. These very young companies who filed to go public are mostly biotech companies which have sligthly different dynamics. The IT companies which will file in the next years will be interesting to analyze: we’ll see if the trend continues or collapses…

One final element. Out of the 716 companies, 274 have been acquired and 383 are still public. The average M&A value is $3B and the median is $600M (remember the statistics of startups are not gaussian but follow a power law, a kind of “winner takes all” situation). Here is the list of the main acquirers:

Data about equity of 600 startups – comments (7)

A final post (for now) about the data about 600 (former) startups. So what have they become today in April 2020?

First a quick point of caution: I counted some companies twice, because I had looked at their equity strutcure at different points in time: Alibaba had two IPOs in 2007 in HK and 2014 in the USA, Esperion had 2 filings in 2000 and 2013. This is not a big deal, except if you count Alibaba’s value twice!

So out of the about 600 former startups, I found that
– 20 were still private (they may have recently filed for IPOs though)
– 12 were private again after an IPO
– 13 had stopped their activity (often through bankruptcy)
– 225 had been acquired or merged with another company (Merger and acquisitions – M&As)
– 331 were still public.

So let us have a closer look at M&As and public companies:

On the M&A side, the main acquisition value comes from biotech, with a $5B average value whereas software or internet is a little les below $3B.

On the public side, I will let you discover depending on your interest about, given the field, the number of companies, employees, cumulative market capitalizations, sales, profits, then age of companies and current average price to sales (PS), price to earnings (PE) and an interesting personal metrics, price ot employees in $M (Pemp).

Data about equity of 600 startups – comments (6)

Sixth post of comments on the 600 startup data. Today, it’s about the valuation of startups.

I had touched the topic on page 615 of the pdf. Here is the data again.

Be aware that these numbers are not typical of traditionnal companies. They show that startups going public are of a speculative nature, with a promise of very high-growth in the future. The multiples are very high and in the case of earnings, in fact most startups do not make a profit at IPO – about one out five!

Interestingly Silicon Valley does not have the highest multiples, but Europe is behing the USA.

The tables give the PS ratio (price to sales – ratio between valuation and sales) and PE ratio (price to earnings – ratio between valuation and profits) and the number of startups taken into account each time. The following curves show the PS values by 5-year periods and by year.

If you are lost, here are slides I have used in the past and if you want to get the excel file, send me an email.

Data about equity of 600 startups – comments (5)

Fifth post of comments on the 600 startup data. Today, it’s about the ownership of non-founding CEOs (compared to the founders).

I noticed a few months ago that in a majority of cases, the CEO was a founder. This was a surprise. The data confirms this: there are a total of 229 startups with a non-founding CEO out of 600 (38%). Again, fewer in the digital domain, and more in the health-related fields.

As you may see in my initial post, these CEOS have on average a 3% ownership (median value is 2.7%).

Is all this useful in practice? The median value of the ratio between the CEO & founders’s ownership is 0,5 (the average value is 1 because there are big outliers). Does this mean that if founders want to hire a CEO at foundation, he should have about 33% of the company, and at series A about 15% if you have read all my posts before!

Here is a more granular illustration.

The next image shows the founders’ ownership on the horizontal axis vs. the CEO’s on the vertical axis (with a zoom on the right).

A final illustration as food for thought, the founders’ ownership in the digital and health-related fields, relatively to the presence of a non-founding CEO or not. (Note that the vertical axis does not have the same scale for the two domains).

Data about equity of 600 startups – comments (4)

Fourth post of comments on the 600 startup data. Today, it’s about how equity is shared following my post yesterday which focused on founders’ equity.

A quick extract from the data gives the following average and median values:

So as a simple model, it is 10% for (2-3) founders, 20% for employees, 50% for private investors (VCs and BAs – business angels) and about 20% for public investors at IPO.

In addition the 20% for employees are made of 8% of common shares, 7% of granted options and 5% of available options.

Finally non-founding CEOs have 3%, VPs 0.8% and CFOs 0.6%.

Independant board members have as a group 0.4%, they are in general 2 to 3, so it is about 0.2% per director.

If you want to dig in the topic, you may be interested in the following slides: