100-Bagger Stocks: The Last Decade's Biggest Winners
Figures compiled: 2026-08-22 — not updated automatically. Tap a ticker below for current, live data.
A "100-bagger" is a stock that returns roughly 100 times an investor's original money. The examples below are widely reported in financial media as among the biggest winners of roughly the last ten years — they are not figures KabuDo has independently verified in real time, and exact multiples depend heavily on the specific entry and exit dates used. Tap any ticker to check current, live data on Yahoo Finance.
Treat this page as a study of what these companies had in common, not a buy list — picking the next 100-bagger in advance is extraordinarily difficult, and this list suffers from obvious hindsight bias: it only includes the handful of stocks that worked out, not the many similar bets that didn't.
United States
NVIDIA
NVDA · NASDAQ ↗~100–200x (split-adjusted) (~2016–2024)
Why it grew: Started as a gaming GPU maker, then became the dominant supplier of the chips used to train and run AI models. Its CUDA software ecosystem gave it a lock-in advantage that pure hardware competitors struggled to match.
Worth noting: The bulk of the gain happened in a short, explosive window (2023–2024) driven by the AI boom — a huge share of the multiple came from a small slice of the decade, not steady compounding throughout.
Enphase Energy
ENPH · NASDAQ ↗~200–300x at its 2022 peak (2016–2022)
Why it grew: Rode the US residential solar boom as a leading maker of microinverters and home battery systems, benefiting from falling solar costs and rising adoption.
Worth noting: The stock has fallen more than 80% from its 2022 high as solar installation growth slowed and interest rates rose — measured today, the multiple from 2016 is far smaller than it was at the peak.
Axon Enterprise
AXON · NASDAQ ↗~50–100x (~2016–2025)
Why it grew: Best known for TASER devices, but the bigger story is its shift to recurring SaaS revenue — cloud-based body camera footage management (Evidence.com) — plus newer bets on drones and AI-assisted policing tools.
Worth noting: A more genuine decade-long compounder than the other two entries here, but still a single company in a narrow, politically sensitive market (law enforcement procurement).
Japan
Verified, decade-long 100x examples are harder to pin down for the Japanese market than for well-covered US mega-caps — the entry below is a genuine multi-year growth story, but treat the specific multiple with extra caution.
Advantest
6857 · Tokyo Stock Exchange ↗Several multiples, approaching 100x in its strongest stretch (~2016–2024)
Why it grew: A leading maker of semiconductor test equipment. Demand surged as AI accelerator chips (and the high-bandwidth memory that goes with them) require far more rigorous, specialized testing than conventional chips.
Worth noting: This one is the least certain figure on this page — the multi-year gain is well documented, but a precise 10-year multiple is harder to pin down from memory alone. Check the linked ticker for current, verifiable numbers before treating this as fact.
What did these stocks have in common?
- A secular tailwind, not a one-off event — AI compute, renewable energy adoption, and cloud software are multi-year structural shifts, not a single quarter's good news.
- Expanding addressable market — the market these companies sold into grew dramatically larger than it was when the run started, not just their share of a fixed pie.
- Revenue that compounds, not just spikes — recurring or repeat-purchase revenue (software subscriptions, consumable test equipment, replacement parts) tends to sustain a re-rating longer than a single product cycle.
- Extreme volatility along the way — every stock here had drawdowns of 50% or more at some point during its run. Holding through a 100-bagger required tolerating periods that looked like a mistake in real time.
See analyzing a company from multiple angles and reducing investment risk for how to think about position sizing and volatility before chasing a story like the ones above.