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One invoice. I would pay each product provider in their own token: one for storage, compute, caching/CDN, email subscription management, etc. Perhaps this dynamic drives consolidation in the market, paralleling the web2 infrastructure hypermarts of AWS, GCP, and Azure. I paid for them each in US dollars every month.
It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). Some software companies also have seasonality in the “payback.”
ChartMogul is an analytics platform to help you run your subscription business. Our mission is to build powerful and secure cloud software for subscription businesses of all sizes, with a strong emphasis on good design and ease of use.
ChartMogul is an analytics platform to help you run your subscription business. Our mission is to build powerful and secure cloud software for subscription businesses of all sizes, with a strong emphasis on good design and ease of use.
We now have results from the three hypersclaers (AWS / Azure / GCP). Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4). Companies that do not disclose subscription rev have been left out of the analysis and are listed as NA.
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). Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4).
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! Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4). Companies that do not disclose subscription rev have been left out of the analysis and are listed as NA.
Hyperscalers Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. At the same time, Azure came in below expectations. Azure called out an incremental $800m of costs expected throughout the year (they just finished their Fiscal Q1).
You can see more detail about their net new ARR added each quarter below Azure Growth came in at 27%, and guided to 25-26% growth for Q3. That means we very well could see 27% be the bottom for them as well (assuming they beat their guidance). Then Q2 came in at 12% (must have seen improvements throughout the quarter).
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Let’s double click on Azure. Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4).
This can lead to an airpocket of valuation as companies transition to a different primary valuation metric Outside of the hypserscalers (Azure, AWS, GCP) who have uniquely benefited from AI revenue (mainly selling compute), everyone else has largely struggled. Coming in to Q1 there was broader optimism. Q4’s were generally good!
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.
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). Cloudflare is up 17%. Datadog is up 14%. Mongo is up 16%. Snowflake is up 14%.
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.” This could be a trend of improving buyer dynamics?
If next quarter we get similar commentary that Azure gave us this quarter (“still a couple quarters away” without any specific guidance), then we may see market loose a little patience. The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs).
Being in the subscription analytics space means data-intensive operations, large volumes, and the ability to often scale accordingly. We researched the market and discovered many tradeoffs and advantages a new provider could bring to the table. Our options were Amazon Web Services (AWS), Google Cloud (GCP), and Azure.
Cloud computing services provide on-demand solutions and IT resources to companies via the Internet with pay-as-you-go or subscription-based pricing models. This may include infrastructural support like storage, security, network equipment, and data centers, as well as comprehensive applications built to perform specific tasks.
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