JAB Acquisition Corp I (ATLQ): Entry into a Material Definitive Agreement

Propanc Biopharma (PPCB) received a Nasdaq delisting notice for failing to meet the $1.00 minimum bid price requirement. The company must appeal by October 30, 2026, to avoid delisting on November 2, 2026. Propanc claims it has cured the deficiency and will request an appeal, which would stay the delisting until a panel decision. Delisting could negatively impact liquidity, market price, and access to capital markets.

Meta plans $130B-$145B in 2026 capital expenditures for AI, including $95B fundraising. Google integrates AI into Search with Gemini 3.5 Flash. Both companies invest heavily in AI to maintain ad revenue, but returns are uncertain. Meta aims to sell compute capacity to external customers.

Kimberly-Clark (KMB) raised $4.9B in senior unsecured notes to fund its Kenvue acquisition. The offering includes five tranches with varying maturities and interest rates. Proceeds will fund the acquisition and related fees, with excess for general corporate purposes. The notes have a mandatory redemption feature if the deal fails. KMB also terminated the remaining $3.9B of its bridge loan facility.

Microsoft plans to raise $25 billion in bonds to fund infrastructure expansion, including AI-related projects. The company has a AAA credit rating and aims for $170 billion in 2026 capital expenditures. Proceeds will be used for general corporate purposes, including acquisitions and debt repayment. Microsoft reported positive free cash flow, unlike peers Alphabet, Meta, and Amazon.

Meta Platforms (META) plans to sell up to $100 billion in new shares, which could dilute earnings per share by about 6% according to Bank of America. The company aims to fund its AI investments, with capital spending expected to reach $210 billion in 2027. Analysts maintain a positive outlook, citing long-term AI opportunities.

Nvidia will invest $3B in Meta's share offering, expanding their AI partnership. Meta aims to raise up to $95B for AI infrastructure, with Nvidia hardware supporting its next-gen AI agents. Meta's Muse models will use Nvidia's technology for training and execution, focusing on efficiency and performance. Both companies highlighted the potential of AI agents but did not disclose specific deployment timelines or sales figures.