Training set
20 documented analogs from ~2003–2024.6 labeled as reaching 100× from the listed inflection; the rest are near-misses or negative size/commodity analogs. This is not hundreds of names — US-listed 100-baggers over 20 years are a small, survivorship-biased set. Caps and multiples are approximate anchors, not a NAV backtest.
Canonical event tree (weights sum 100)
- Stage 0 — Base state · Small/mid starting size (10) — Room to 100× needs a starting market cap well below mega-cap. Historical analog starts clustered <$10B, often <$3B.
- Stage 0 — Base state · TAM >> current revenue (8) — Addressable market large enough that a 10–50× revenue path is plausible without needing the whole economy.
- Stage 0 — Base state · Owner-operator / aligned capital (5) — Founder-led or high insider ownership historically co-occurred with long compounding (NVDA, TSLA, ISRG, MELI, AXON).
- Stage 0 — Base state · Secular tailwind (7) — A non-cyclical demand shift (AI compute, e-commerce, GLP-1, EV/solar, cashless payments, MIS surgery) rather than a one-cycle bounce.
- Stage 1 — Unit economics · High / expanding gross margin (8) — Software/IP >50–70%; hardware/consumer still needs a structurally high or rising GM vs peers.
- Stage 1 — Unit economics · Revenue compounding ≥20% (10) — Sustained high-teens/20%+ revenue CAGR is the earnings engine. One quarter of growth is not enough.
- Stage 1 — Unit economics · Operating leverage (6) — Revenue growing faster than opex; operating margin expanding or already healthy.
- Stage 1 — Unit economics · FCF inflection (7) — Crossing from burn to self-funding (or already FCF+ while still growing) is a recurring analog node.
- Stage 1 — Unit economics · High reinvestment returns (6) — ROE/ROIC high enough that retained earnings actually compound rather than being destroyed.
- Stage 2 — Twin engines · Earnings / FCF compounding (9) — The Davis double-play needs the E in P/E to grow ~10–25× over a decade, not just a rerating.
- Stage 2 — Twin engines · Multiple still has room (7) — Already-extreme multiples leave less of the historical 4–10× rerating engine. Mega-cap + 50× P/E is usually runway-limited.
- Stage 2 — Twin engines · Share count not exploding (5) — Heavy SBC/issuance can cancel per-share compounding even if the enterprise 100×s.
- Stage 3 — Moat / S-curve · Switching costs / network (5) — Installed base, developer ecosystem, two-sided marketplace, or clinical lock-in that defends the S-curve.
- Stage 3 — Moat / S-curve · Adjacent TAM expansion (4) — Historical 100-baggers repeatedly jumped S-curves (NVDA gaming→datacenter, AAPL Mac→iPhone, SHOP SMB→enterprise).
- Stage 3 — Moat / S-curve · Category leadership (3) — Clear #1 or #2 in a growing category; also-rans rarely 100× from here.
| Symbol | 100×? | Inflection | Start cap | Peak × | Years | Archetype | Event chain |
|---|---|---|---|---|---|---|---|
| NVDA NVIDIA | yes | 2016 | $30.0B | ~250× | 8 | semiconductor | CUDA installed base + gaming GPU cash engine (pre-2016) → Datacenter GPU demand inflection (2016–2018) → Training-cluster standard + CUDA lock-in → Generative-AI TAM jump (2022–2024) — adjacent S-curve, not a new company Classic adjacent-TAM 100-bagger. Gaming funded the platform; AI was the second S-curve. Nodes at inflection: huge_tam, owner_operator, secular_tailwind, high_gross_margin, revenue_cagr_20, operating_leverage, fcf_inflection, high_roic, earnings_compound, multiple_room, low_dilution, switching_or_network, adjacent_expansion, category_lead |
| TSLA Tesla | yes | 2013 | $4.0B | ~400× | 8 | industrial-niche | Model S proof that EV could be a luxury product (2012–13) → Gigafactory + Model 3 volume bet → FCF inflection after 2020 volume ramp → Multiple expansion as EV category leadership priced in Unit economics were ugly at T0. Size + TAM + founder + category bet carried the analog; FCF came late. Nodes at inflection: small_mid_cap, huge_tam, owner_operator, secular_tailwind, revenue_cagr_20, multiple_room, adjacent_expansion, category_lead |
| NFLX Netflix | yes | 2011 | $5.0B | ~120× | 10 | platform-compounder | DVD → streaming pivot (2007–2011) → Originals as distribution moat (2013+) → International subscriber compounding → FCF lag while content spend scaled; earnings caught up later FCF was negative through much of the 100×. Analog is growth + TAM, not FCF purity. Nodes at inflection: small_mid_cap, huge_tam, owner_operator, secular_tailwind, revenue_cagr_20, operating_leverage, earnings_compound, multiple_room, switching_or_network, adjacent_expansion, category_lead |
| AMZN Amazon | no | 2008 | $30.0B | ~80× | 13 | platform-compounder | e-commerce flywheel already working → AWS adjacent S-curve (2006 launch, 2015 disclosure) → Prime lock-in + 3P marketplace network → Operating leverage delayed by reinvestment Did not 100× from 2008 in 10 years for a late starter; still the adjacent-TAM template. Kept as a near-miss analog. Nodes at inflection: huge_tam, owner_operator, secular_tailwind, revenue_cagr_20, operating_leverage, earnings_compound, switching_or_network, adjacent_expansion, category_lead |
| AAPL Apple | yes | 2003 | $6.0B | ~200× | 15 | consumer-brand | iPod + iTunes installed base → iPhone adjacent S-curve (2007) → Services attach on the installed base → Gross margin + FCF compounding after scale The 2003–2012 run is the consumer-platform analog. Today AAPL is runway-limited on size. Nodes at inflection: huge_tam, owner_operator, secular_tailwind, high_gross_margin, revenue_cagr_20, operating_leverage, fcf_inflection, high_roic, earnings_compound, multiple_room, low_dilution, switching_or_network, adjacent_expansion, category_lead |
| AMD Advanced Micro Devices | no | 2016 | $4.0B | ~80× | 8 | semiconductor | Zen architecture turnaround (2016–17) → Share gains vs INTC in CPU → Datacenter + GPU adjacency (MI300) → Multiple expansion on earnings recovery Near-miss 100-bagger from the 2015 low; kept as a turnaround analog, not a clean 100× label. Nodes at inflection: small_mid_cap, huge_tam, secular_tailwind, revenue_cagr_20, operating_leverage, fcf_inflection, earnings_compound, multiple_room, adjacent_expansion |
| ISRG Intuitive Surgical | no | 2005 | $4.0B | ~40× | 16 | medtech-platform | da Vinci installed-base razor/razor-blade → Surgeon training switching costs → Procedure mix expansion (urology → general surgery) → High GM + FCF from instruments/accessories From IPO (2000) it 100×d; from 2005 it is a high-quality compounder analog more than a fresh 100×. Nodes at inflection: small_mid_cap, huge_tam, secular_tailwind, high_gross_margin, revenue_cagr_20, fcf_inflection, high_roic, earnings_compound, low_dilution, switching_or_network, category_lead |
| MNST Monster Beverage | yes | 2004 | $300M | ~200× | 12 | consumer-brand | Hansen → Monster rebrand (2002–04) → Energy-drink category takeoff → Coca-Cola distribution deal (2015) as adjacent scale, not the original 100× → High ROIC brand compounding Consumer-brand analog: tiny start, category creation, distribution leverage. Nodes at inflection: small_mid_cap, huge_tam, owner_operator, secular_tailwind, high_gross_margin, revenue_cagr_20, operating_leverage, fcf_inflection, high_roic, earnings_compound, multiple_room, low_dilution, category_lead |
| MELI MercadoLibre | no | 2016 | $8.0B | ~30× | 8 | platform-compounder | LatAm e-commerce #1 → Mercado Pago adjacent fintech S-curve → Logistics network as switching cost → FCF lagged GMV growth From IPO it 100×d; from 2016 it is a platform analog. Kept because the event chain (marketplace + payments) repeats. Nodes at inflection: small_mid_cap, huge_tam, owner_operator, secular_tailwind, revenue_cagr_20, operating_leverage, earnings_compound, multiple_room, switching_or_network, adjacent_expansion, category_lead |
| SHOP Shopify | no | 2016 | $4.0B | ~50× | 5 | software-land-expand | SMB commerce OS land-and-expand → App store / ecosystem switching costs → COVID GMV spike then multiple collapse → FCF weak through the first 100× attempt Near-miss / round-trip analog. Teaches that multiple-only 100× without FCF is fragile. Nodes at inflection: small_mid_cap, huge_tam, owner_operator, secular_tailwind, high_gross_margin, revenue_cagr_20, multiple_room, switching_or_network, adjacent_expansion, category_lead |
| AXON Axon Enterprise | no | 2016 | $1.5B | ~40× | 9 | industrial-niche | Taser hardware cash engine → body-cam + Evidence.com SaaS adjacency → Agency switching costs (evidence vault) → Software mix lift GM + FCF From TASER-era lows it 100×d. Hardware→SaaS mix shift is the industrial analog. Nodes at inflection: small_mid_cap, huge_tam, owner_operator, secular_tailwind, high_gross_margin, revenue_cagr_20, fcf_inflection, earnings_compound, multiple_room, switching_or_network, adjacent_expansion, category_lead |
| DXCM DexCom | no | 2014 | $2.0B | ~50× | 7 | medtech-platform | CGM category creation → Sensor razor/razor-blade → Type-2 adjacent expansion → High GM after scale From early 2010s it 100×d. Recurring-sensor analog. Nodes at inflection: small_mid_cap, huge_tam, secular_tailwind, high_gross_margin, revenue_cagr_20, operating_leverage, earnings_compound, multiple_room, switching_or_network, category_lead |
| REGN Regeneron | no | 2009 | $2.0B | ~40× | 6 | biotech-platform | VelocImmune platform → Eylea launch (2011) commercial proof → FCF inflection on a single franchise → Pipeline adjacency later Biotech analog: platform + one commercial smash. Not a diversified 100-bagger template. Nodes at inflection: small_mid_cap, huge_tam, owner_operator, secular_tailwind, high_gross_margin, revenue_cagr_20, fcf_inflection, high_roic, earnings_compound, multiple_room, category_lead |
| FSLR First Solar | no | 2006 | $2.0B | ~30× | 2 | energy-transition | Thin-film cost curve 2006–08 → Multiple spike on solar bubble → Drawdown >80% — analog for commodity + policy risk Negative analog: TAM + growth without moat/FCF produced a round trip. Scoring must not treat this as a success. Nodes at inflection: small_mid_cap, huge_tam, secular_tailwind, revenue_cagr_20, multiple_room |
| MA Mastercard | no | 2006 | $14.0B | ~40× | 15 | payments-network | IPO 2006 asset-light network → Cash-to-card secular shift → Volume × take-rate compounding → Buybacks (negative dilution) From IPO it ~40–50×d, not 100×, because start size was already large. Network + FCF analog. Nodes at inflection: huge_tam, secular_tailwind, high_gross_margin, operating_leverage, fcf_inflection, high_roic, earnings_compound, low_dilution, switching_or_network, category_lead |
| V Visa | no | 2008 | $50.0B | ~15× | 13 | payments-network | IPO 2008 already a global network → Same cashless tailwind as MA → Start size capped the multiple Negative size analog: quality compounder that could not 100× from a $50B start. Nodes at inflection: huge_tam, secular_tailwind, high_gross_margin, operating_leverage, fcf_inflection, high_roic, earnings_compound, low_dilution, switching_or_network, category_lead |
| BKNG Booking Holdings | yes | 2003 | $1.0B | ~150× | 14 | platform-compounder | Priceline name-your-price → Booking.com Europe → OTA network effects → FCF after scale, then buybacks Marketplace 100-bagger from sub-$2B. Today size-capped. Nodes at inflection: small_mid_cap, huge_tam, secular_tailwind, high_gross_margin, revenue_cagr_20, operating_leverage, fcf_inflection, high_roic, earnings_compound, multiple_room, switching_or_network, category_lead |
| CMG Chipotle | no | 2006 | $3.0B | ~40× | 18 | consumer-brand | Fast-casual category → Unit growth + ticket mix → 2015 food-safety drawdown (path dependence) → Throughput / digital recovery From IPO it 100×d over ~18y including a near-death. Analog for brand + unit growth, not a clean 10y 100×. Nodes at inflection: small_mid_cap, huge_tam, secular_tailwind, high_gross_margin, revenue_cagr_20, operating_leverage, fcf_inflection, high_roic, earnings_compound, multiple_room, category_lead |
| AVGO Broadcom | no | 2012 | $10.0B | ~40× | 12 | semiconductor | Avago roll-up of franchise silicon → Networking + custom ASIC adjacency → FCF + capital return → VMware software adjacency (late) Quality compounder, start size limited 100× odds. Analog for high-ROIC semi franchise. Nodes at inflection: huge_tam, secular_tailwind, high_gross_margin, operating_leverage, fcf_inflection, high_roic, earnings_compound, low_dilution, switching_or_network, adjacent_expansion, category_lead |
| LLY Eli Lilly | no | 2018 | $120.0B | ~8× | 6 | biotech-platform | GLP-1 / incretin category (Mounjaro/Zepbound) → Manufacturing scale as the bottleneck, not demand → Start size already mega-cap — cannot 100× from here Negative size analog with a real secular tailwind. Quality ≠ 100-bagger potential. Nodes at inflection: huge_tam, secular_tailwind, high_gross_margin, revenue_cagr_20, operating_leverage, fcf_inflection, high_roic, earnings_compound, category_lead |