AI Infrastructure Dependence And Underutilization Risks Will Test This Cash-Rich Undervalued Player

Catalysts

About TSS

TSS provides procurement, systems integration and facilities management services for data center and AI or high performance computing infrastructure.

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

• Although TSS is tied to expanding AI and high performance computing infrastructure that is driving higher margin Systems Integration work, the reliance on one marquee customer for a large share of GB300 and Vera Rubin related racks concentrates risk if that customer redirects spend or shifts integration partners, which could pressure revenue and earnings.
• While the $17 million Vera Rubin power and cooling investment is expected to support recurring, higher margin rack integration, any slowdown or reconfiguration in NVIDIA platform rollouts could leave TSS with underutilized capacity and added depreciation, which would weigh on segment gross margins and adjusted EBITDA.
• Although modular data center and edge deployments are seeing rising interest as compute densities grow, execution missteps in adding engineering and sales capabilities or delays in partner adoption could limit TSS participation in this trend and cap growth in Facilities Management revenue and related gross profit.
• While the shift away from lower margin Procurement toward Systems Integration and Facilities Management has improved blended gross margin to 22.8%, persistent volatility in Procurement ordering patterns or supply chain constraints on key components could create uneven revenue and operating income, even with a healthier mix.
• Although TSS holds US$67.7 million in cash with total debt of US$16.1 million and a leverage ratio below 1x, ongoing capital needs for integration capacity and potential future MDC opportunities could increase fixed costs faster than revenue if AI server demand or mainstream networking racks normalize, putting pressure on net margins and earnings growth.

Assumptions

How have these above catalysts been quantified?

• This narrative explores a more pessimistic perspective on TSS compared to the consensus, based on a Fair Value that aligns with the bearish cohort of analysts.
• The bearish analysts are assuming TSS's revenue will grow by 4.2% annually over the next 3 years.
• The bearish analysts assume that profit margins will shrink from 7.4% today to 4.4% in 3 years time.
• The bearish analysts expect earnings to reach $9.7 million (and earnings per share of $0.3) by about August 2029, down from $14.4 million today. The analysts are largely in agreement about this estimate.
• In order for the above numbers to justify the price target of the more bearish analyst cohort, the company would need to trade at a PE ratio of 61.0x on those 2029 earnings, up from 19.0x today. This future PE is greater than the current PE for the US IT industry at 20.8x.
• The bearish 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 9.61%, as per the Simply Wall St company report.

Risks

What could happen that would invalidate this narrative?

• The growth in AI and high performance computing racks for TSS is closely linked to NVIDIA driven platforms and a single marquee customer, so any long term shift in chip roadmaps, competitive AI architectures or that customer's supplier strategy could reduce rack volumes and pressure Systems Integration revenue and earnings.
• TSS is investing about US$17 million in Vera Rubin related power and cooling capacity on top of the Georgetown buildout. If long term AI server rollouts moderate or shift to different configurations, the company could face underutilized fixed assets, which would weigh on gross margin and net margins through higher depreciation.
• Facilities Management revenue today relies partly on refresh projects, and some customers have already chosen not to renew maintenance on older modular data centers. If the trend over several years is toward fewer renewals and more insourced maintenance, recurring service revenue and segment gross profit could come under pressure.
• Procurement Services is structurally volatile and depends on timing of large customer infrastructure orders. If long term ordering patterns settle at the lower end of the historical US$30 million to US$40 million quarterly range or supply chain constraints persist across key components, total revenue and operating income could be more uneven than expected.
• TSS has been adding headcount, equity compensation and integration capacity to support higher margin growth. If long term Systems Integration and warehousing volumes do not scale as planned, the higher fixed cost base and interest expense on US$16.1 million of debt could compress operating leverage, which would limit growth in net income and earnings per share.

Valuation

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

• The assumed bearish price target for TSS is $13.0, which represents up to two standard deviations below the consensus price target of $16.5. This valuation is based on what can be assumed as the expectations of TSS's future earnings growth, profit margins and other risk factors from analysts on the more bearish end of the spectrum.
• However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of $20.0, and the most bearish reporting a price target of just $13.0.
• In order for you to agree with the more bearish analyst cohort, you'd need to believe that by 2029, revenues will be $218.7 million, earnings will come to $9.7 million, and it would be trading on a PE ratio of 61.0x, assuming you use a discount rate of 9.6%.
• Given the current share price of $9.68, the analyst price target of $13.0 is 25.5% higher. Despite analysts expecting the underlying business to decline, they seem to believe it's more valuable than what the market thinks.
• 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.