Some analysts say Alphabet could double in value to become a $2T company in the near future, as the total market cap of FAANGs rose by $1.3T over the past year
Rupert Neate / The Guardian :
Context & Ripple Effects
In January 2020, Guardian reporting flagged analyst calls that Alphabet could double to a $2T valuation while the FAANGs collectively added $1.3T in market cap over a year. The prediction landed, but on a four-year lag: Alphabet finally closed above $2T in April 2024 at $2.15T, powered by a 10% single-day jump — its largest since July 2015.
What makes this worth revisiting is the acceleration that followed: Alphabet became the fourth company past $3T in September 2025, joining Nvidia, Microsoft, and Apple, then crossed $4T in January 2026. Each successive trillion arrived faster than the last, turning a cautious 2020 analyst note into the opening data point of a much steeper curve.
First-order effects
- Alphabet's doubling validated the 2020 bull case, but the timeline matters: the $2T target took roughly four years, meaning patient holders were rewarded while anyone underwriting 'near future' was early by years.
Second-order effects
- Once inside the $2T-plus tier alongside Nvidia, Microsoft, and Apple, Alphabet's valuation became benchmarked against that peer group — and its subsequent $3T and $4T crossings were framed as race positions ('fourth to reach') rather than standalone fundamentals stories.
Third-order effects
- The quality of the earnings behind these milestones is shifting: per the reported figures, Alphabet's Q2 other income — mostly investment gains — accounted for 71% of its profits, and nine top tech firms including Alphabet carry about $3T in AI-related off-balance-sheet commitments against $600B in reported capex, so future trillion-dollar steps may rest more on financial and infrastructural positioning than on operating income alone.
The trend: Big Tech market-cap milestones are arriving at an accelerating cadence — Alphabet went from a doubted $2T call in 2020 to $4T by 2026 — while the earnings base underneath those valuations tilts toward investment gains and off-balance-sheet AI commitments.