Top 25 Waterloo Technology Acquisitions – Wisdom from the Data

The acquisition of MKS by PTC in 2011, caused me to reflect a bit on what good acquisitions might look like and what they might teach us about building (sometimes elusive) long term shareholder value. As a result, over the last 6 months, I’ve progressively assembled a collection on the most significant acquisitions in the Waterloo area. To my knowledge, such information has hitherto never been collected. We all love to speculate, but it is more productive to ground that speculation with facts.

The following table is intended to summarize value creation through the lens of several key benchmarks.

Rank Company Acquiror Acquisition Price
(UIS$ millions)
Date Acquired Date Founded Company Age
(years)
Employees LTM Sales
($US Million)
NOTES Price/Sales Revenue/Emp CAGR $/Employee
1 Pixstream Cisco 369 December 21, 2000 1996 4 196 5.4 2 68.3 27 551 47.2 1.88
2 Dalsa Teledyne Technologies 341 February 14, 2011 1980 31 1000 200 3 1.7 200 000 0.85 0.34
3 MKS PTC – Parametric 304 May 31, 2011 May 1, 1984 27 360 75 4.1 208 333 0.96 0.84
4 Mitra Imaging AGFA Healthcare 252 January 3, 2002 1990 12 400 50 4 5 125 000 3.38 0.63
5 Bluegill Checkfree 250 April 28, 2000 1996 4 150 20 5 12.5 133 333 68.57 1.67
6 Unitron Phonak 91 November 22, 2000 1965 35 300 62.6 6 1.5 208 667 0.67 0.30
7 SlipStream RIM 91 June 1, 2006 2000 6 120 13 7 7 108 333 14.33 0.76
8 Tsavo Media Cyberplex 75 June 10, 2010 2001? 9 120 110 8 0.7 916 667 6.83 0.63
9 WATCOM Powersoft 74 February 11, 1994 1981 13 100 8 9 9.3 80 000 2.4 0.74
10 LivePage Janna Systems 68 September 20, 1999 1990? 9 12 1 10 68 83 333 3.64 5.67
11 EMJ Synnex Canada 64 July 14, 2004 1979 25 350 303 12 0.2 865 714 1.18 0.18
12 Dspfactory AMI Semiconductor 51 September 9, 2004 1998 6 75 16 3.2 213 333 14.87 0.68
13 MapleSoft Cybernet Systems 49.8 September 1, 2009 April 30, 1988 21 50 12 13 4.1 240 000 1.17 1.00
14 PrinterOn Samsung 40 September 2, 2014 2000 14 50 10 4 200 000 2.15 0.80
15 SS Technologies Woodhead Industries 35 July 31, 1998 1991 7 75 50 14 0.7 666 667 11.6 0.47
16 Reqwireless Google 32 2001 June 23, 1905 4 15 1 32 66 667 30 2.13
17 TribeHR NetSuite 30 October 22, 2013 2009 4 24 4.5 18 6.7 187 500 45 1.25
18 GBG HighJump Software 26 November 1, 2006 1991 15 200 22 11 1.2 110 000 2.09 0.13
19 PostRank Google 25 June 3, 2011 March 1, 2007 4 20 0 n/m n/m n/m 1.25
20 Kaparel (Pixstream) Rittal 21 December 10, 2000 1996 4 30 7.1 17 3 236 667 50.62 0.7
21 VideoLocus LSI Logic 20 November 14, 2002 May 1, 2001 2 17 0 n/m n/m n/m 1.18
22 RapidMind Intel 19 August 19, 2009 2004 5 25 3 6.3 120 000 18 0.76
23 BufferBox Google 17.5 December 30, 2012 2011 2 10 0 n/m n/m n/m 1.75
24 Software Metrics Equitrac 8 February 1, 2000 September 1, 1992 8 35 3 16 n/m n/m n/m 0.23
25 Volker Craig NABU 5.9 1981 1973 8 45 5.9 1 131 827 6 0.47
TOTAL 2364 11.16 3779 982.5 11.5 259 998 15.8 0.62

NOTES:

  1. Sources: public records, internet, personal recollections and interviews with 25 key ecosystem participants. In the interests of data utility, I welcome any revisions or comments regarding accuracy or completeness.
  2. All data are “normalized” into US Dollars, using an exchange rate current on the date of the acquisition. The use of US$ reflects the fact that most technology companies are really valued in US$ and hence that makes comparisons, both across the data and to other jurisdictions, more meaningful.
  3. The sample set is limited to my sense of what a technology company is – your mileage may vary.
  4. Acquisition PRICE includes cash, stock and post deal incentives, including earn outs.
  5. Several companies were re-acquired after the first acquisition (e.g. WatCom and LivePage). These follow on transactions are not reflected in this data.
  6. Some companies spun out several acquisitions, such as Kaparel which was sold out of Pixstream or SS Technologies, originally spun out of Sutherland Shultz.
  7. AGE represents the time in years from founding to the (first) acquisition.
  8. EMPLOYEES is the world wide count.
  9. SALES, given the high growth nature of many of these businesses, levels generally reflect the run rate at acquisition, rather than purely using an LTM (“Last Twelve Months”) measure.

CONCLUSIONS

The above data suggests a lot of trends and insights. It contains a wealth of insights, and also the individual narratives of each of these companies is, in itself, worthy of more discussion and analysis. In aggregate, however, the data suggest some key ideas to me:

  1. Acquisition prices are a great proxy for long term shareholder value, precisely because leading global technology companies provide an informed, third party valuation that likely has way more science than most earlier stage technology company valuation.
  2. Building larger companies takes time. The myth of the “quick flip” startup is (mostly) just that.
  3. As I discuss in my next post, building major technology companies is hard. We don’t (yet) seem to have “cracked the code” on this and need to learn how to build more over time.
  4. The aggregate scale of these companies, at the time of their acquisition, is materially significant to our region – almost 4 000 employees and almost $1 billion in revenue.
  5. Companies take much longer to build than most would expect. While the range in ages from 2 to 35 years is quite diverse, the average age of 11.2 years shows the time, resources and hard work to build real businesses.
  6. Acquisitions are good for our economy. Many people consider acquisitions to be a bad thing, but for those companies that were already at reasonable scale, most have continued to grow post acquisition. In addition to the wealth generated and its spinoffs, the acquirors bring new ideas and often jobs to our region. This is yet another reason why building larger technology companies is so important.

I am hoping that this data collection regarding acquisitions, and my initial take on conclusions, might stimulate further discussion around the notion of building significant value in businesses.

Please feel free to comment, or even contact me, with insights, questions and corrections.