Home GADGETS TSMC’s quarterly sales hit a record $30 billion — contract chipmaker plans...

TSMC’s quarterly sales hit a record $30 billion — contract chipmaker plans over 15 new fabs to meet still-growing AI demand

TSMC’s quarterly sales hit a record  billion — contract chipmaker plans over 15 new fabs to meet still-growing AI demand

TSMC on Thursday reported its strongest quarter ever, posting a revenue of $30 billion for the second quarter of 2025, citing strong demand for AI processors. The foundry expects demand for AI applications to grow in the coming years, so it is plotting a rather unprecedented expansion plan that involves building 15 new fabs over the course of the next several years.

$30.07 billion in Q2: Best quarter ever

For the second quarter of 2025, TSMC posted $30.07 billion in revenue (NT$933.79 billion), marking a 38.6% increase compared to the same period last year and a 17.8% rise from the previous quarter. The foundry’s net income stood at $12.825 billion (NT$398.27 billion), up 60.7% year-on-year, while earnings per share came in at NT$15.36, or US$2.47 per American Depositary Receipt. TSMC’s gross margin hit 58.6%, which is an unprecedented result for a contract chipmaker that does not sell chips under its own brand.

(Image credit: TSMC)

Advanced process technologies (7nm-class and thinner) continued to dominate wafer revenue, with 3nm-class production node contributing 24%, 5nm-class accounting for 36%, and 7nm-class standing at 14%. Altogether, technologies these processes represented 74% of the total. As for applications, HPC commanded 60% of TSMC’s wafer revenue, smartphones accounted 27% of sales, whereas automotive and IoT contributed 5% each.

(Image credit: TSMC)

TSMC’s HPC platform is a rather vague classification, which includes everything from low-end CPUs for client PCs to system-on-chips for game consoles and from high-end CPUs to monstrous AI processors using advanced packaging. This time around TSMC specifically noted that high demand from AI and HPC clients remained a key factor in the quarter’s performance.

Expansion plan

Processors for AI applications tend to be big and will get bigger in the coming years, consuming more silicon than ever. A good example of such development are Nvidia’s Rubin Ultra accelerators that will use four reticle-sized compute chiplets in 2027, increasing demand for TSMC silicon by at least two times.

(Image credit: TSMC)

Today, demand for TSMC’s N5 (5nm/4nm-class) and N3 (3nm-class) fabrication processes is so strong that the company can barely meet it, even despite the fact that all of AMD’s and Nvidia’s AI GPUs are made using proven 4nm-class production nodes (N5P, 4N, 4NP) and only the latest AMD’s Instinct 355X uses TSMC’s N3 node. That said, it is not surprising that to meet demand for advanced AI GPUs in the coming years, TSMC must expand its manufacturing capacities. Apparently, this is what the company plans to do.

Source link