
TSS Inc. turns AI data center deployment into a business. Revenue surged to $18.6 million, backlog hit $93 million. Risks: customer concentration, thin balance sheet, negative cash flow. Next earnings in August.
TSS Inc. does not build chips or own mega data centers. It installs the racks, power lines and cooling pipes that make AI clusters run. The company's most recent quarter showed revenue of $18.6 million, up from $5.8 million a year earlier. The backlog hit $93 million, more than double the prior year's figure.
That backlog reflects contracts to deploy liquid-cooled racks for high-density AI clusters. The work requires specialized labor and tight coordination with equipment vendors. Gross margin fell to 16.7% from 19.5% a year ago, reflecting the mix shift toward deployment services and away from higher-margin maintenance work.
The deployment business is lumpy. A single large contract can swing quarterly results by millions. One hyperscale client accounted for roughly 60% of revenue in the quarter. TSS is trying to diversify with enterprise and colocation clients. The hyperscale segment still drives most of the growth.
Speed is the edge. TSS can staff a deployment project in weeks. Larger integrators often take months. That speed matters when a hyperscaler is racing to bring a new cluster online before the next GPU generation arrives. TSS also decommissions older infrastructure, a revenue line that grows as operators refresh equipment for higher power densities.
The balance sheet is thin. Cash stood at $1.2 million at quarter end. Total debt was $4.8 million. Operating cash flow was negative $3.1 million, pulled down by working capital needs from the surge in deployments. TSS has funded growth with equity raises and debt. The share count rose roughly 15% over the past year, adding dilution.
Management guided for full year revenue of $70 million to $80 million, growth of 60 to 80 percent from 2024. The forecast assumes the current backlog converts on schedule and new contracts continue at the recent pace. A delay in hyperscaler spending could push revenue toward the low end of the range.
The Seeking Alpha analysis notes that the bull case assumes AI infrastructure deployment stays a bottleneck for years, with TSS's niche being hard to automate or offshore. The bear case, the analysis says, points to the risk that hyperscalers could eventually bring the work in house or that larger competitors will chase the margins.
TSS reports its next quarterly results in early August.
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