ByteDance secures $29.6 billion loan

ByteDance has arranged a $29.6 billion syndicated loan, described as Asia’s second-largest dollar-denominated borrowing so far this year. The facility is structured as a syndicated transaction involving a group of lending banks, with proceeds earmarked mainly for general corporate purposes. At the time of reporting, the deal had not yet been formally signed, as participating banks were still in the process of confirming their final allocations.

The financing places ByteDance among the region’s largest recent borrowers in the dollar market. The only larger dollar loan in Asia this year is a $40 billion bridge facility obtained by SoftBank Group in March, underlining the scale of ByteDance’s new funding arrangement.

ByteDance initially sought a $20 billion facility but decided to increase the size after attracting more than $30 billion of orders from banks. The oversubscription reflects robust lender appetite for exposure to the company, enabling it to expand the borrowing well beyond the original target.

The loan’s opening margin is set at 68 basis points over the Secured Overnight Financing Rate. The facility has a three-year tenor, with provisions that allow the maturity to be extended to as long as five years. Citigroup (C) and JPMorgan Chase (JPM) are acting as coordinators and lead arrangers for the financing, managing the syndication process among participating institutions.

Alongside the new loan, ByteDance is considering a substantial increase in capital expenditure over the coming years. The company is evaluating plans to boost capital spending to as much as $70 billion in 2026. This potential investment would be directed largely toward expanding data centres and other infrastructure to support artificial intelligence initiatives.

The combination of a large syndicated loan and potential future capital spending highlights ByteDance’s focus on funding broad corporate needs while preparing for sizeable infrastructure projects. The new facility provides additional financial flexibility as the company assesses long-term requirements for data and AI capabilities.