Long-Term AI Inference Contracts And Colocation Capacity Will Underpin Future Performance

Catalysts

About Boost Run

Boost Run provides GPU based AI compute capacity through colocation data centers for customers across sectors such as financial services and health care.

What are the underlying business or industry changes driving this perspective?

• Acceleration of AI inference into production workloads is outpacing available compute capacity, and Boost Run is focused on this heavier inference demand. This can support higher utilization of its GPU fleet and influence revenue and earnings over time.
• Longer duration AI contracts and an expanding backlog, with US$1.9b of TCV at 3 year average terms and required customer prepayments, provide clearer multi year visibility that can affect revenue stability and project level net margins.
• Broader enterprise adoption of AI in regulated sectors such as financial services and health care, where Boost Run emphasizes compliance and certifications, can support mix shift toward customers that value reliability and pricing power, which can influence margins and cash flow.
• Growing ecosystem programs around NVIDIA reference architecture and exemplar cloud partners, where Boost Run is already engaged, can funnel large GPU consumers to providers that meet strict performance and architecture standards, which can impact utilization rates and earnings quality.
• Expanded access to colocation power and hardware, including 253 megawatts of accessible capacity and multi billion dollar procurement discussions with OEMs, positions Boost Run to bring sites online in smaller 25 megawatt units. These units can come into service faster and affect revenue timing and net cash flow margins.

Assumptions

How have these above catalysts been quantified?

• Analysts are assuming Boost Run's revenue will grow by 222.4% annually over the next 3 years.
• Analysts are not forecasting that Boost Run will become profitable in next 3 years. To represent the Analyst Price Target as a Future PE Valuation we will estimate Boost Run's profit margin will increase from -173.7% to the average US IT industry of 7.7% in 3 years.
• If Boost Run's profit margin were to converge on the industry average, you could expect earnings to reach $145.8 million (and earnings per share of $1.5) by about September 2029, up from -$98.0 million today. However, there is a considerable amount of disagreement amongst the analysts with the most bullish expecting $539.3 million in earnings, and the most bearish expecting $113.4 million.
• In order for the above numbers to justify the price target of the analysts, the company would need to trade at a PE ratio of 40.2x on those 2029 earnings, up from -13.4x today. This future PE is greater than the current PE for the US IT industry at 20.4x.
• Analysts expect the number of shares outstanding to grow by 7.0% per year for the next 3 years.
• To value all of this in today's terms, we will use a discount rate of 10.14%, as per the Simply Wall St company report.

Risks

What could happen that would invalidate this narrative?

• Boost Run is committing to very large future hardware purchases of US$4b to US$5b on top of an essentially fully allocated US$1.44b Dell agreement. This ties the company to high capital intensity at a time when AI hardware cycles and customer preferences can change, and this could pressure revenue if demand for specific GPU configurations weakens and could weigh on earnings and net margins through higher depreciation and financing costs.
• The business model depends on long-term access to colocation power and third party data centers, with 253 megawatts of accessible capacity and new multi hundred megawatt projects. Any delay, pricing change or operational issue at these partners could slow the ramp of contracted TCV into live workloads, which would affect revenue timing and could compress project level net margins and cash flow.
• Boost Run is heavily aligned with NVIDIA programs including Exemplar Cloud and AICP and designs around NVIDIA Reference Architecture. Any long-term shift in the AI ecosystem toward alternative hardware vendors or different reference standards could reduce the value of these certifications and affect utilization and pricing, which would influence revenue and earnings quality over time.
• The company is still reporting a GAAP net loss of US$75 million for the quarter and relies on customer prepayments, equipment financing and equity to fund rapid expansion. Any slowdown in new contracts, lower prepayment rates or reduced access to warrant and debt funding could constrain growth plans and increase funding costs, which would impact net margins and overall earnings.
• A growing portion of Boost Run’s business comes from higher priced on demand and spot market inference workloads, and management highlights that financiers are less willing to support purely on demand exposure. Any long-term normalization of AI spot pricing or increase in competition for these workloads could reduce project cash generation and weaken revenue growth, net cash flow margins and earnings.

Valuation

How have all the factors above been brought together to estimate a fair value?

• The analysts have a consensus price target of $45.0 for Boost Run based on their expectations of its future earnings growth, profit margins and other risk factors.
• In order for you to agree with the analysts, you'd need to believe that by 2029, revenues will be $1.9 billion, earnings will come to $145.8 million, and it would be trading on a PE ratio of 40.2x, assuming you use a discount rate of 10.1%.
• Given the current share price of $16.55, the analyst price target of $45.0 is 63.2% higher.
• We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.