Transcript
Matt Russell (0:00)
This episode is brought to you by Portrait. It's the AI research system that I used to prepare for today's episode and for all business breakdowns episodes. Portrait was built by former buy side investors and they understand great investing isn't just about having more information from low quality sources. It's about having the right information organized the right way. And if you listen to the show, you appreciate Diligence consists of many things Diving into the history of a business, framing the nuanced competitive dynamics, tracking key signposts around your thesis. And historically that would take up material time that you do not have. But Portrait is basically like adding an army of analysts to your team. It's powered by an AI system specifically designed for investment research workflows so you get nuanced idea generation. Portrait assesses the same types of qualitative attributes that we discuss on this show and that can help identify businesses which fit your frameworks. Portrait also customizes research report generation and I used Portrait to generate a primer and lay out bold bear cases ahead of today's episode to help frame the conversation. And third, there's intelligent thesis monitoring and that's where Portrait assesses thousands of data points across value chains each day, extracting the insights driving the business again. All this work would typically take hours and hours and hours. It's at your fingertips now. Visit portraitresearch.com to start your free trial today.
Podcast Host / Narrator (1:45)
This is Business Breakdowns. Business Breakdowns is a series of conversations within business investors and operators diving deep into a single business. For each business, we explore its history, its business model, its competitive advantages, and what makes it tick. We believe every business has lessons and secrets that investors and operators can learn from and we are here to bring them to you. To find more episodes of breakdowns, check out joincolasis.com all opinions expressed by hosts and podcast guests are solely their own opinions. Hosts, podcast guests, their employers or affiliates may maintain positions in the securities discussed in this podcast. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions.
Matt Russell (2:34)
This is Matt Russell and today we are breaking down GE Aerospace. Now if you go by tickers, we did break down GE several years ago, but that episode focused on how Larry Culp at the time was turning around that Titanic. That was ge the conglomerate today. Ramesh Narayanaswamy, co Founder and Portfolio Manager of Tubian Partners, join me to go deeper on what is now a pure play aerospace business. So we get into some of the unique dynamics of the supply chain in aerospace, the long cycle nature that differentiates it from many other industries that you look at. And I marvel a bit on the complexity that is aircraft engine manufacturing. But not for long, because this is another beautiful example of selling services attached to equipment. And I first met Ramesh back in the summer of 2024 at a business breakdowns event. It did not take long for me to appreciate his approach around finding these businesses with unique scarcity or scale benefits. And I finally got them on business breakdowns. So please enjoy our conversation on GE Aerospace. All right Ramesh, I am pumped to have you here. We're covering GE Aerospace today and some listeners may remember we covered GE just a couple of years ago. This was prior to the spin offs and having these pure play entities. We thought it was a good opportunity to come back to this name, particularly I think with how the story has played out over the past few years and even prior to that episode we did. Initially I thought the best place to start was just a reintroduction to ge, but specifically GE Aerospace and just a small simple explanation of what it is that they do. Maybe what they sell, give some context about where they operate in the aerospace spectrum.
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