Alibaba reported a significant 66% drop in net income for the December quarter, missing revenue estimates as the Chinese tech giant ramps up capital expenditure in the global AI race. Despite the top-line miss, the company remains focused on narrowing the gap with U.S. competitors through aggressive infrastructure and model development.
Investors are rotating toward energy and financial sectors as recent market volatility creates attractive entry points for undervalued assets. Matrix Asset Advisors' David Katz highlights these sectors as resilient options for navigating the current equity selloff.
President Donald Trump has indicated that the U.S. military operation in Iran is "very complete" and ahead of schedule, suggesting a swift conclusion to the conflict. This announcement triggered an immediate positive reaction in U.S. equity markets as investors price in a reduction in geopolitical risk.
Eric Trump, co-founder of World Liberty Financial, has reaffirmed his long-term bullish outlook for Bitcoin, predicting a $1 million price target despite a 47% correction from its 2025 peak. Speaking as Bitcoin trades near $67,000, Trump characterized the digital asset as the premier investment class of the current generation.
Asian equity markets advanced on Wednesday as investors weighed the potential for lower energy costs against persistent valuation concerns in the artificial intelligence sector. While the New Zealand dollar softened following dovish central bank signals, global attention remains fixed on upcoming Federal Reserve minutes and Middle Eastern diplomacy.
About CNBC coverage
This page surfaces every story mentioning CNBC across our finance coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running finance beat. Cross-entity comparisons live on our compare view.
What you see
What it tells you
Story count
Number of distinct stories where CNBC was a primary or referenced actor.
Recency clustering
Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc).
Sentiment distribution
Aggregate sentiment of the stories mentioning this entity, weighted by impact score.
Cross-niche links
When the same entity surfaces in our sibling networks, we link to those views to enrich context.