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Through these interactions, I’ve built up mental benchmarks for metrics on which I place extra emphasis. My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g., This metric is more self-explanatory, so I won’t go into detail.
The hyperscalers (AWS, Azure, GCP) are always some of the first companies to report earnings during earnings season (coming up in 2 weeks), and there’s always a read through for consumption names (meaning people believe there’s a correlation). I created this subset to show companies where FCF is a relevant valuation metric.
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against.
Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011).
All 3 (AWS, Azure, GCP) saw positive reacceleration Quarterly Reports Summary Top 10 EV / NTM Revenue Multiples Top 10 Weekly Share Price Movement Update on Multiples SaaS businesses are generally valued on a multiple of their revenue - in most cases the projected revenue for the next 12 months.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. I created this subset to show companies where FCF is a relevant valuation metric.
Hyperscalers Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. Overall, it wasn’t pretty… AWS grew 28% when expectations were 30-31%. Every week I’ll provide updates on the latest trends in cloud software companies.
” These are two quotes about AWS on the Amazon earnings call. AWS grew 16% in Q1, but called out growth in April (first month of Q2) was 11%. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against.
.” As growth starts to slow, it gets harder and harder to justify using revenue multiples as a primary valuation metric. And when this happens, growth companies transition to more of a value based valuation metric (FCF or PE). I created this subset to show companies where FCF is a relevant valuation metric.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). On AWS, in their Q4 earnings call they said AWS was growing “mid teens” in January (down from 20% in Q4). Every week I’ll provide updates on the latest trends in cloud software companies.
Hyperscalers (AWS, Azure, GCP as companies look for cloud GPUs who aren’t building out their own data centers) Infra (Data layer, orchestration, monitoring, ops, etc) Durable Applications We’ve clearly well underway of the first 3 layers monetizing. Revenue multiples are a shorthand valuation framework.
A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Ultimately, we decided to go with AWS. Team expertise.
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” AWS reports next week. So what did we learn?
The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. However, it’s not showing up in the data yet.
The AWS Well-Architected Framework is one such approach that helps adopt architectural best practices (whether or not you run on AWS) and adapt continuously. Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics.
Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). The warehouse is then optimized for efficient access (typically through SQL) to that data, with a number of other properties layered in (like governance, access, security, etc).
It’s less expensive than it’s ever been in terms of actually getting a product to market, whether it’s leveraging platforms like Salesforce or GCP or AWS or Heroku. Just from a platform perspective, we can look at it: everybody knows from the AWS perspective how inexpensive it is to go to market.
As such, FinOps best practice involves continuously evaluating the metrics you’re tracking and ensuring they reflect your business objectives and the latest developments in cloud service. Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer.
Service providers like Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure offer server hosting and load-balancing services. Service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure offer infrastructure services that support backend development.
For example, technology companies like AWS, GCP, and Snowflake offer no contracts for customers interested in using their self-service option or beta-testing the solution. Test different performance scenarios for impact to key financial metrics (e.g., impact on recognized revenue and costs, E/R, SG&A, etc.).
Bonus points : Experience with cloud platforms (AWS, Azure, GCP). It provides features like metrics dashboards , reports (funnel, path, trend, cohort), user feedback , etc. Experience with data visualization tools (e.g., Tableau, Power BI). Excellent communication and collaboration skills.
And we were using a solution from Amazon AWS… We had one big issue first, which was a number of regions they were supporting were not the same vendors. And it means like my road map would be like putting some emphasis on those metrics which are not game changing for the business. The geo distribution is done by the DNS.
“AWS’ AI business is a multibillion-dollar revenue run rate business that continues to grow at a triple-digit year-over-year percentage and is growing more than 3x faster at this stage of its evolution as AWS itself grew, and we felt like AWS grew pretty quickly.” GCP 23 35 52.2% Azure 26 33 26.9%
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