Category Archives: Start-up data

Access to French startups data

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I should have known sooner about new rules on data about French startups. In the past, you had to pay on sites like societe.com or Euridile to get filing documents of private companies from the register of companies. This is the past! Now it is possible to access this data for free. And this is great news. So my favorite exercise which consists in building cap. tables of startups, which had become a habit for companies going public, for Swiss companies in certain cantons like Zurich or Basel, or for British companies thanks to Companies House is now possible in France with Pappers.

I obviously tried with some of the current famous private startups. I failed with Dataiku, probably because it moved to the USA, but could build some partial tables for Doctolib, Mirakl, Alan, Ledger and BlaBlaCar. It is far from perfect because you need to read many documents. I had to go through 68 ones for BlaBlaCar. I did not go into the details of stock options, granted or exercised. But I could get the info about the founders and the funding rounds. Here is a summary:

and here are the individual tables. QUite fascinating to see the recent trends in France through 5 examples:

The (Recent) Impact of Venture Capital on Startups

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I have regularly been puzzled with the (real) impact of venture capital on startups, their growth or even their success. A few days ago, I received an email from a friend with a very interesting table.

The measure of capital productivity is given by the ratio a/b where a is the startup revenue at the time of IPO and b is the amount of venture capital raised by the startup before going public. The 4 big tech companies are Apple, Microsoft, Amazon and Google, 4 companies founded before 2000. The ratio a/b is greater than 10. The recent VC or IPO deals give ratios below 1 and closer to 0.1.

So it was easy for me to look at my usual cap. tables (check here if you do not know what I talk about). I have now 880 companies and I sorted this a/b ratio over time. Here is the result:

I have 272 biotech startups and 361 in the Software and Internet fields (the others are hardware, semiconductor, energy, medtech companies mostly). I have the a/b ratio (which I call Sales to VC) by period of 5 years (the years of foundations of the startups). I also pu the PS ratio (the famous Market Capitalization to Sales or “Price to Sales” ratio). Indeed the ratio is “collapsing” from above 5 before the 90s to below 1 after 2000.

I have also separated biotech which is known to have startups going public with low revenue and the group of Software and Internet. The curves which follow are probably better illustrations. Quite striking!

I also looked at the profits (or losses) of the startups and computed the Profit to VC amount ratio. Here it is:

Biotech is different as companies were rarely profitable when going public and the ratio is quite stable since 1990. But overall, companies were profitable at IPO before 2000 (and sometimes highly profitable, so that I could not find a good axis scale for my figure). They are losing money since 2005 and apparently losing more and more.

All this is no real surprise. Mallaby in his recent book The Power Law has described the new trends in venture capital. Funds like Softbank Vision or Tiger Global are pouring tons of money in startups which try to capture market dominance, whatever the cost. So the capital productivity is decreasing at IPO with the hope of huge gains in the future. A very, very risky bet…

PS (dated April 22, 2022) : I was asked a question about startups in the energy / greentech field. This is indeed interesting. Couple of comments before providing an answer from my data. Greentech has never been a stable or profitable segment. Kleiner Perkins or Khosla Ventures, early entrants in the field, seem to have suffered a lot. In addition I have only 21 companies in my DB. You are right, it is stable but from the low range, with low sales to VC ratios and negative profits…

La question était : On a different note you have data only on Energy/green tech? what would you expect to see? I was wondering if for capex intensive businesses the trend is more weak as they already needed to raise a lot of capital.

Silicon Valley will soon be 65. Should it be Retired ? – The Darwinian Dynamics of the Region

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Silicon Valley will soon be 65. 65? Yes, I usually say that the region began its growth with the foundation of Fairchild Semiconductor in 1957 (even if the name itself was created in 1971).

endeavor-insight-sv-2-retina

The region is increasingly criticized for both good and bad reasons (see for example here and there) and perhaps it is a little out of breath. Too old ? Ten years ago I had looked at its “Darwinian dynamics” in Darwinian and Lamarckian innovation – by Pascal Picq. I had noted there the remarkable dynamics of creation (and destruction) of businesses. “Twenty of the top 40 SV companies in 1982 did not exist anymore in 2002 and twenty one of the 2002 top 40 companies had not been created in 1982.” So I just did the exercise again.

The table below gives the data for 1982 and 2002 again, then those for 2020. I should have waited for 2022 and the 65th birthday of Silicon Valley, but I didn’t have the patience! Ten of the 40 largest companies did not exist in 2000 and seven more did not exist in 1995. Sixteen of the top 40 of 2002 no longer exist in 2021. The region is therefore a little less dynamic but it remains quite remarkable… The retirement seems to me far away in reality !

As a final comment, five years ago, I had mentioned the evolution of the American capitalism in The top US and European (former) start-ups and in particular The Largest Companies by Market Cap Over 15 Years. You could compare it with the dynamics of French CAC40.

Forty Largest Technology Companies in Silicon Valley
(the same data are provided in jpg format at the end of the post)

1982 2002 2021 Revenue Market Cap
1. Hewlett-Packard 1. Hewlett-Packard 1. Apple $294,135 $2,153,363
2. National Semiconductor 2. Intel 2. Alphabet e $182,527 $1,169,351
3. Intel 3. Cisco b 3. Facebook d $85,966 $787,268
4. Memorex 4. Sun bc 4. Intel $77,867 $194,491
5. Varian 5. Solectron c 5. HP Inc. $57,667 $31,545
6. Environtech a 6. Oracle 6. Cisco $48,026 $192,007
7. Ampex 7. Agilent b 7. Oracle $39,403 $191,539
8. Raychem a 8. Applied Materials 8. Tesla d $24,578 $77,574
9. Amdahl a 9. Apple 9. HP Enterprises $26,866 $15,677
10. Tymshare a 10. Seagate Technology 10. Netflix e $24,996 $236,117
11. AMD 11. AMD 11. Gilead $24,689 $74,058
12. Rolm a 12. Sanmina-SCI 12. SYNNEX $23,757 $6,588
13. Four-Phase Systems a 13. JDS Uniphase c 13. PayPal e $21,454 $277,047
14. Cooper Lab a 14. 3Com c 14. salesforce.com e $21,252 $208,200
15. Intersil 15. LSI Logic 15. Applied Materials $18,202 $78,716
16. SRI International 16. Maxtor b 16. NVIDIA $16,675 $328,615
17. Spectra-Physics 17. National Semiconductor c 17. Western Digital $16,327 $16,183
18. American Microsystems a 18. KLA Tencor 18. Adobe $12,868 $241,275
19. Watkins-Johnson a 19. Atmel b 19. Uber d $12,078 $93,549
20. Qume a 20. SGI c 20. Lam Research $11,929 $69,264
21. Measurex a 21. Bell Microproducts bc 21. eBay e $10,713 $36,576
22. Tandem a 22. Siebel bc 22. AMD $9,763 $115,364
23. Plantronic a 23. Xilinx bc 23. Square d $9,498 $106,173
24. Monolithic 24. Maxim Integrated b 24. Intuit $7,717 $99,872
25. URS 25. Palm bc 25. Opendoor d $7,324 $1,221
26. Tab Products 26. Lam Research 26. Sanmina $6,875 $2,117
27. Siliconix 27. Quantum c 27. KLA Tencor $6,073 $40,492
28. Dysan a 28. Altera bc 28. Equinix e $5,999 $63,238
29. Racal-Vadic a 29. Electronic Arts b 29. Electronic Arts $5,670 $41,368
30. Triad Systems a 30. Cypress Semiconductor bc 30. NetApp $5,590 $14,480
31. Xidex a 31. Cadence Design b 31. Agilent $5,530 $36,607
32. Avantek a 32. Adobe Systems b 32. Intuitive Surgical e $4,551 $92,762
33. Siltec a 33. Intuit b 33. ServiceNow d $4,519 $110,315
34. Quadrex a 34. Veritas Software bc 34. Juniper e $4,445 $7,478
35. Coherent 35. Novellus Systems b 35. Workday d $4,318 $57,934
36. Verbatim 36. Yahoo bc 36. Synopsys $3,821 $39,023
37. Anderson-Jacobson a 37. Network Appliance b 37. Autodesk $3,790 $67,066
38. Stanford Applied Eng. 38. Integrated Device 38. Palo Alto Net. d $3,783 $33,851
39. Acurex a 39. Linear Technology 39. Twitter d $3,716 $44,436
40. Finnigan 40. Symantec b 40. Airbnb d $3,378 $94,765


NOTES: This table was compiled using 1982 and 2002 Dun & Bradstreet (D&B) Business Rankings data and Blommberg data for 2020. Companies are ranked by sales.
a – No longer existed by 2002.
b – Did not exist before 1982.
c – No longer existed by 2021.
d – Did not exist before 2000.
e – Did not exist before 1995.

Same table in jpg format

Female founders – an analysis from 800 (former) startups

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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

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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.

Employee ownership in startups – The stock option millionaire

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August is a good month to look back at data and previous posts. I just published one about the age of founders. Here is a quick look again about what employees may gain in startups when succesful. In addition to hopefully what they do with more pleasure than in big established companies, they usually have access to stock options and one of the myths of Silicon Valley is that in the most succesful startups, everyone becomes a millionaire.

A few years ago, I published some data about employee onwernship based on 600 startups. Have a look here. I also commented a guide about stock options in Rewarding Talent – A guide to stock options for European entrepreneurs by Index Ventures.

So how much ownership an employee have in a startup. I looked at my 800-startup database, and built the following tables. Please go to the end of the post for another analysis.

The three tables show some nuances depending upon the field, geography and period but with an ownership around 0.1%, yes employees are close to being millionaires. Now as the next table show, the situation might be different depending who you are in the company from a manager to a junior.

This last table is an extended version from the one used in the presentation I make about equity sharing in startups:

The age of founders and non-founding CEOs

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The age of founders has been a recurrent topic here as you might see from tag #age. In my analysis about hundreds of startups (822 at this time, and 600 lately), I just thought it would be interesting to check the correlation, if any, there might be between the age of founders and a CEO among these founders or not. Intuitively, one might think that the less experimented founders may induce a non-founding CEO. So here are the results:

The numbers speak and may seem counterintuitive. A majority (and often an overwhelming majority in the digital world) of startups have a founding CEO and the average age of founders is lower in this case. Question of dynamism, of envy of the team, I do not know …. Do not hesitate to react and comment.

23andMe goes public (IPO) through a SPAC

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DNA testing 23andMe, Anne Wojcicki‘s startup, just went public through a SPAC, Virgin Group Acquisition Company (VGAC) of Richard Branson.

So what is a SPAC? It took me some time to understand and I am still not sure about the details… If you are interested about general information, you may want to read the Wikipedia link below or the following articles:
– OK, What’s a SPAC? from the New York Times, Feb. 2021 or
– The Pied Piper of SPACs from the New Yorker, June 2021.

A standard IPO is a process where a private company becomes public by offering its existing shares for sale to the public with the possibility of creating new shares bought by the public at the IPO.

A SPAC (Special Purpose Acquisition Company as explained on Wikipedia) is a process where an empty shell or “blank check” company is created by raising money on a public stock exchange, it becomes a public company with no activity and just new shareholders. Then it may acquire an existing private company by a negociation where the existing shareholders of the SPAC and of the private company agree on a balanced value between the two companies. By this reverse merger company, the private company becomes the public company and the SPAC name disappears.

So 23andMe followed such a process and I understood the following to build the cap. table of the new public company. VGAC, the SAPC, had raised $509M at IPO in October 2020. Then Richard Branson proposed to Anne Wojcicki to acquire 23andMe. It worked and they agreed on a price per share of $10, so that the $509M would give 50.9M shares to the VGAC shareholders.

23andMe had its own shareholders, including Anne Wojcicki (about 100M shares), Sequoia (24M shares), Glaxo (39M shares). There were shares detained by managers and board memebers and about 28M stock options too. (The two other cofounders are not mentioned in the IPO document.)

What makes it a little more complex is the additional fact that there was an “private placement” at the IPO of $250M at $10 per share, i. e. 25 new shares in the cap. table.

I am not full sure about all this. It could be that I am mixing the Private Placement, the SPAC shareholders and the 23andMe shareholders, but in a way this is a detail. Where I am confused is that the press annouces a value of $3.9B and I obtain $4.9B which the stock options are not sufficient to explain… Please react if you see a good explanation!

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

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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