Yesterday, Box filed for its IPO and released its S-1. I enjoy going through S-1s because the S-1 discloses some very important details about the business operations. Over the past several months, I've analyzed the basket of the roughly 40 public SaaS companies many different ways. With the Box S-1 in hand, I can now benchmark Box's business against other publics, and in particular, SaaS companies nine years after founding. Box is also nine years old. Below are six key comparisons between Box and the average public SaaS business.
Over the past few years, I've debated the existence of a Series A crunch and found in that analysis that the volume of Series As was increasing. This trend hasn't abated. The number of Series As has grown by 31% annually for the past 5 years, reaching more than 831 Series As in 2013, up from 284 in 2009. In short, no founder should be concerned about the Series A market. Rather, the Series B market is worrisome.
I've been getting a few questions about the tools I use to publish this blog, so I figured I'd write about it and reveal the machinery behind the curtain. I use four main tools Jekyll, Github Mou, and RStudio. Jekyll is the blogging engine; Github is the hosting provider; Mou is the app I use to write these posts; and RStudio is the place I analyze data and make charts.
Each morning's news seems to bring another fund-raising announcement of ever larger scale. Just a few months ago, Pure Storage raised $150M in the largest ever venture investment in a storage company. These record financings certainly generate significant press interest. But how representative of the fund raising environment are these mega-rounds?
Last week, Sean Ellis made an interesting comment in response to this post on public SaaS companies' growth rates. "Everyone seems to throw out the 15% - 20% month over month MRR growth as the target. But seems like it's just a random target." I'm guilty of giving the same advice to startup founders without providing a transparent rationale. This post is my explanation of why the 15-20% MRR growth number is a reasonably good target for post-Seed/pre-Series A SaaS startups to aim for.
At the time of the IPO, the median Software-as-a-Service (SaaS) company generates $100M in revenue, creates $2.6M in profit and holds $85M in cash on the balance sheet. A company in this position typically raises $107M in its IPO and trades at 11x revenue, for a $1.1B market cap.
SaaS companies are the darlings of the public market. The average publicly traded SaaS company enjoys twice as strong a revenue multiple as ten years ago. SaaS companies' time to IPO has been decreasing steadily from over 10 years since founding to under 7. Despite the decrease in time to IPO, the average dollars raised at IPO has tripled from the early nineties and grown by 50% since 2000.
One of the most important trends in the Internet at the moment is unbundling. Entrepreneurs are picking apart Craigslist and eBay, vertical by vertical. At the same time, other entrepreneurs have replicated the core functions and features of Facebook and LinkedIn, creating hugely valuable companies. But simply calling this trend unbundling doesn't do the movement justice, particularly in the transactional web. The trend is more fundamental.
Since the first transistor, ncreasing speed has been at the core of much innovation in Silicon Valley . Over more than three decades, Moore's Law has remained the engine of progress in chip technology. I've been wondering if a analogous productivity law will be written for data.