
Hyliion lifts 2026 guidance as Navy delivery schedule slips
Hyliion raised 2026 revenue guidance to about $18 million after $7.5 million in quarterly revenue, but KARNO deliveries now stretch into early 2027 amid component delays.
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Hyliion raised its 2026 revenue guidance to about $18 million from $15 million on Nov. 10, after third-quarter revenue reached $7.5 million and beat the company’s own expectations.
The Austin company develops KARNO linear generator power modules for data centers, military users and industrial sites. All $7.5 million came from research and development services, mainly accelerated work on an 800-kilowatt KARNO system for the Office of Naval Research; revenue was $0.8 million a year earlier.
What changed in the outlook?
Hyliion began 2026 with revenue guidance of $10 million. The company expects about $3 million in fourth-quarter revenue and still forecasts year-end cash and investments of $115 million to $120 million, compared with $121.4 million at Sept. 30.
The net loss narrowed to $11.1 million from $13.3 million, while operating expenses fell 15% to $13.0 million. Quarterly net cash spending declined to $11.0 million from $20.6 million, mostly because capital spending dropped. At $7.5 million, quarterly revenue remained below the $13.0 million operating expense.
MLQ.ai derived second-quarter figures from reported nine-month, first-quarter and third-quarter data: $4.9 million revenue, $15.7 million operating expenses and a $13.9 million net loss. Third-quarter 2025 operating expenses were $15.3 million.
The quarter improved at the income-statement level. The delivery calendar did not.
Why are KARNO deliveries slipping?
Hyliion delivered another early-adopter KARNO module to the U.S. Navy and began moving equipment to its first commercial customer site, where it expects to finish deployment in the coming weeks. The company now expects to complete the remaining early-adopter units by its fourth-quarter report in February 2027.
The 800-kilowatt system for the Navy’s USX-1 Defiant autonomous vessel is now due in early 2027. Hyliion attributed part of the revised timing to a component redesign intended “to address thermal fatigue identified during extended system operation.”
The company still targets 200 kilowatts of output from the KARNO Core by year-end. That figure is a product target, not confirmed shipment capacity.
How much military work is in the numbers?
Hyliion expects about $8 million of further military awards before year-end, which would bring new military contracts for 2026 to approximately $50 million. It had $45.5 million of authorized funding left under existing contracts at Sept. 30.
Chief Executive Thomas Healy said: “Customer demand continues to grow across commercial and military markets, and we expect a total of approximately $50 million in new military contract awards this year.” His projection places contract awards, rather than delivered systems, at the center of the military case.
The $50 million award total remains a company forecast; the $45.5 million represented authorized funding under existing contracts. Hyliion also dropped a planned equipment financing for 2026, citing market terms.
Can KARNO convert data-center interest into orders?
Hyliion said data-center customers are showing growing interest and that KARNO’s native 800-volt DC output fits emerging AI infrastructure power designs. It named no data-center customer.
That is interest, not disclosed commercial traction. No pricing or contract value for a data-center deployment appears in the results, leaving customer conversion as the less tidy part of the thesis.
What has to happen next?
The near-term test is execution: the first commercial deployment must finish in coming weeks, redesigned components must support early-2027 Navy delivery, and interest in 800-volt data-center systems must become orders. No disclosed pricing or named customer resolves that uncertainty.
Source: mlq.ai
More from Nathan Brooks
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Senior reporter covering people, launches and day-to-day practice in Semiconductors, chip manufacturing, hardware, AI compute at Chip Dispatch.
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