Aaron Burnett's banner
Aaron Burnett's profile picture

Aaron Burnett

@aaronburnett • 16,339 subscribers

Founder, CEO @ Mach33 | Research and Investment in Space & Expansion Technologies

Shorts

Someone just caught Artemis from their flight. Cool view of little piece of history!

Someone just caught Artemis from their flight. Cool view of little piece of history!

3,062,492 views

There has been a lot of hand wringing on the appropriate valuation of SpaceX. Some large institutions believe SpaceX can only be valued at half what the market seems to be willing to pay for it. Others are claiming it has 15X appreciation ahead of it. Almost all of this difference of opinion comes down to how comfortable you are modeling beyond 2030 and what valuation method you use. 2030 valuation using a traditional Gordan DCF produces a very different result than a 2040 EV/EBITDA Multiple. Both have pros and cons. Most analysts don’t really discuss this and lead with a headline number. We are very comfortable modeling out to 2040, as large portions of what SpaceX is proposing is real world infrastructure, which provides modelable physics constraints to anchor against. The analysis we released today explores this in-depth, its open to the public all the way through IPO. I highly encourage you check it out prior to then. We’ve run 5,000 monte carlo runs across 500 variables (real number, even though it sounds fake) and three valuation methods. This video is of a 3D cloud chart showing every simulation outcome expected in valuation output across two of the most impactful variables to the model when using an EV/EBITDA multiple from 2026 to 2040. The horizontal axis is the steepness of the orbital data center demand S-curve. The vertical axis is the rate at which chip compute efficiency becomes cheaper. Each of the 5,000 dots is one simulated future; green dots are the ones where SpaceX's 2040 value clears the $1.77T IPO line, over time. Under EV/EBITDA valuation through 2040, 96% of our simulated futures clear the expected IPO price once the bell rings Friday. We aren’t publishing this publicly to tell investors what the stock is worth, we’re publishing this to help investors understand the world of outcomes, what the fundamentals suggest through 2040, and what frankly most analysis simply won’t share. SpaceX is a generational company working on long term infrastructure harnessing a domain no one has been able to tap in so far: space. It deserves doing the work as an investor. because this in not financial advice. The cleanest way to hold SpaceX is a bond stapled to a call option (AI-Compute); Starlink is the bond, the near term SatCom annuity that funds the next flywheel. Understand the world of outcomes and take your position accordingly. Comparables and P/E won't take you far enough.

There has been a lot of hand wringing on the appropriate valuation of SpaceX. Some large institutions believe SpaceX can only be valued at half what the market seems to be willing to pay for it. Others are claiming it has 15X appreciation ahead of it. Almost all of this difference of opinion comes down to how comfortable you are modeling beyond 2030 and what valuation method you use. 2030 valuation using a traditional Gordan DCF produces a very different result than a 2040 EV/EBITDA Multiple. Both have pros and cons. Most analysts don’t really discuss this and lead with a headline number. We are very comfortable modeling out to 2040, as large portions of what SpaceX is proposing is real world infrastructure, which provides modelable physics constraints to anchor against. The analysis we released today explores this in-depth, its open to the public all the way through IPO. I highly encourage you check it out prior to then. We’ve run 5,000 monte carlo runs across 500 variables (real number, even though it sounds fake) and three valuation methods. This video is of a 3D cloud chart showing every simulation outcome expected in valuation output across two of the most impactful variables to the model when using an EV/EBITDA multiple from 2026 to 2040. The horizontal axis is the steepness of the orbital data center demand S-curve. The vertical axis is the rate at which chip compute efficiency becomes cheaper. Each of the 5,000 dots is one simulated future; green dots are the ones where SpaceX's 2040 value clears the $1.77T IPO line, over time. Under EV/EBITDA valuation through 2040, 96% of our simulated futures clear the expected IPO price once the bell rings Friday. We aren’t publishing this publicly to tell investors what the stock is worth, we’re publishing this to help investors understand the world of outcomes, what the fundamentals suggest through 2040, and what frankly most analysis simply won’t share. SpaceX is a generational company working on long term infrastructure harnessing a domain no one has been able to tap in so far: space. It deserves doing the work as an investor. because this in not financial advice. The cleanest way to hold SpaceX is a bond stapled to a call option (AI-Compute); Starlink is the bond, the near term SatCom annuity that funds the next flywheel. Understand the world of outcomes and take your position accordingly. Comparables and P/E won't take you far enough.

1,522,437 views

i'm not sure what spacex uses internally, but i'm about 90% sure this is the most comprehensive (and maybe complex) starlink connectivity financial model on the planet today. building off years of starlink analysis, a freshly built 192 market/377,270 geographic area data pack, and more than a month of iterations. a full reference model is available to the public at this link including python to help you run your own model scenarios. (hint: ask grok bot to download the plugin or model directly and manage the python) this model splits the world into over 300,000 cells and tracks each satellite beam by beam to granularly predict how much throughput can make it to literally any location on the globe based on its population density. (in the video you can see the forecasted beam spread simulation over 15 years) One of my favorite charts is the model assumption sensitivity analysis. It tells the story of which assumption carries the most weight over time starting with adoption and giving way to enterprise penetration and pricing over the 2030s. highly recommend copying the prompt and asking grok bot to dive in. pro tip: internally all of our team shares model insights via html charts. ask grok bot to condense core learnings that you care about into charts, websites or explainer videos for you. grok probably won't make fun of you for asking stupid questions (i know this for sure). kudos to Vlad Saigau for building the connectivity model with one hand literally behind his back (he broke his wrist).

i'm not sure what spacex uses internally, but i'm about 90% sure this is the most comprehensive (and maybe complex) starlink connectivity financial model on the planet today. building off years of starlink analysis, a freshly built 192 market/377,270 geographic area data pack, and more than a month of iterations. a full reference model is available to the public at this link including python to help you run your own model scenarios. (hint: ask grok bot to download the plugin or model directly and manage the python) this model splits the world into over 300,000 cells and tracks each satellite beam by beam to granularly predict how much throughput can make it to literally any location on the globe based on its population density. (in the video you can see the forecasted beam spread simulation over 15 years) One of my favorite charts is the model assumption sensitivity analysis. It tells the story of which assumption carries the most weight over time starting with adoption and giving way to enterprise penetration and pricing over the 2030s. highly recommend copying the prompt and asking grok bot to dive in. pro tip: internally all of our team shares model insights via html charts. ask grok bot to condense core learnings that you care about into charts, websites or explainer videos for you. grok probably won't make fun of you for asking stupid questions (i know this for sure). kudos to Vlad Saigau for building the connectivity model with one hand literally behind his back (he broke his wrist).

15,107 views

I’m pretty sure SpaceX accidentally built a transformer. At least that’s what it sounds like here.

I’m pretty sure SpaceX accidentally built a transformer. At least that’s what it sounds like here.

206,928 views

What will it cost to launch a kilogram into space in 2040, if you don't own the rocket? We took a stab at forecasting customer launch price over the next decade. We try very hard to account for everything in a bottom up model. Built off 77k rows of cleaned historical data, more than 500 assumptions and then monte carlo'd 1,999 times. hopefully, we are less wrong then the next guy, but we'll see. Core takeaways: Starship opening to customers and when it does is 'the hinge' in the model. no one else has a viable path to the scale of reusable tonnage to orbit to effect customer prices. Internal usage (like Starlink/Starmind for SpaceX, or similar constellations for others like Terrawave/Blue Origin) dramatically dominates the total upmass to orbit driven by reduced internal costs. Even with the dropping customer prices the difference in $/kg between internal and external uses is dramatic. due to things like payload optimization. Interestingly enough, this model produces a fairly negative case (for customers purchasing launch) in the late 2030s where starship capacity is driven away from customers and toward Moon/Mars and internal endeavors causing a demand shock. You can read about the model, core assumptions and it's build methodology here...

What will it cost to launch a kilogram into space in 2040, if you don't own the rocket? We took a stab at forecasting customer launch price over the next decade. We try very hard to account for everything in a bottom up model. Built off 77k rows of cleaned historical data, more than 500 assumptions and then monte carlo'd 1,999 times. hopefully, we are less wrong then the next guy, but we'll see. Core takeaways: Starship opening to customers and when it does is 'the hinge' in the model. no one else has a viable path to the scale of reusable tonnage to orbit to effect customer prices. Internal usage (like Starlink/Starmind for SpaceX, or similar constellations for others like Terrawave/Blue Origin) dramatically dominates the total upmass to orbit driven by reduced internal costs. Even with the dropping customer prices the difference in $/kg between internal and external uses is dramatic. due to things like payload optimization. Interestingly enough, this model produces a fairly negative case (for customers purchasing launch) in the late 2030s where starship capacity is driven away from customers and toward Moon/Mars and internal endeavors causing a demand shock. You can read about the model, core assumptions and it's build methodology here...

12,444 views

Videos

No more content to load