UMS Integration posts 89% jump in Q2 profit as AI 'super cycle' fuels Singapore semiconductor supply chain

Singapore's semiconductor supply chain is riding a wave that keeps getting stronger. UMS Integration, the mainboard-listed precision components maker that supplies the chip equipment industry, has delivered a second quarter that its own chief executive calls "stellar" — and the reason, he says plainly, is the artificial intelligence "super cycle" that is driving equipment demand years into the future.

The numbers tell the story. Net profit for Q2 FY2026 came in at S$19.4 million, up 89 per cent from a year earlier, while revenue climbed 29 per cent to S$87.1 million. For the first half, profit reached S$33.4 million, a 66 per cent improvement, on revenue of S$156.5 million, up 25 per cent. The company declared a second interim dividend of one cent per share, and shares closed at S$2.70 on Aug 13 — up 5 per cent on the day and a staggering 134.78 per cent year to date.

The growth is coming from both of UMS's segments: semiconductor components, where it is a key player in the equipment supply chain, and aerospace via its separately listed unit JEP Holdings. CEO Andy Luong says current results have yet to reflect the full contribution of several new manufacturing services still working through customer qualification, and that key customers have given "strong forecasts of equipment demand for several years ahead." The company is also preparing to work with a new major customer on a product introduction, and has announced plans to expand into Vietnam to complement its Singapore and Malaysia facilities.

For anyone watching Singapore's AI economy, this is the kind of earnings report that shows how deep the local AI supply chain runs. UMS is not a chip designer or a data centre operator — it makes the precision components that the equipment makers need, and that equipment builds the AI infrastructure the whole world is racing to deploy. When a company like this talks about an AI-driven "super cycle," it is evidence that the demand is real and durable, not a marketing slogan.

Why it matters for Singapore: Singapore has positioned itself as a critical node in the global AI supply chain, and UMS's results are a concrete example of how that positioning pays off. The company's Vietnam expansion also reflects a regionalisation trend among Singapore-linked manufacturers responding to capacity demand. As AI infrastructure spending continues to climb, SGX-listed suppliers like UMS — and investors watching them — stand to benefit from a cycle that executives say still has years to run.