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17.05.2026 · 09:42 EDT · Live
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Economic Calendar · Week 20
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Trending News · global
FEDFed signals no further rate hikes in 2026 — tone explicitly dovish14 min
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GEOEU Commission opens probe into TSMC subsidies in Dresden7 h
NVDA
NVIDIA Corporation · Semiconductors
$184.72
+$4.23   +2.34%
Overall
84/100
Value
18
Growth
24
Quality
23
Momentum
19
Mkt Cap
4.48 T
+2.34%
P/E Fwd
28.4×
PEG 0.62
Rev YoY
+62.4%
$130.5 B FY
FCF Yld
2.1%
$94 B TTM
Op Margin
62.4%
+18.2 pp
ROIC
96.1%
Top 1%
NVDA · 1Y · USD
1D 5D 1M 3M 6M 1Y 5Y
190.00 170.00 150.00 130.00 110.00 May '25 Jul Sep Nov Jan '26 Mar Today 184.72
Fundamental Analysis
NVIDIA shows exceptional profitability with a 75% gross margin and 115% ROE. The DCF fair value sits at $198 — making the stock roughly ~7% undervalued right now. A forward P/E of 28 is attractive given expected EPS growth of 45% (PEG 0.62). Risks: concentration in the data-center segment (82% of revenue), China business under export controls.
Backlog · RPO
10-Q · Q3 FY26
Remaining Performance Obligations — contractually committed revenue not yet recognized. Auto-extracted from the 10-Q.
Total RPO
$90.4 B
+42% YoY
< 12 M
$34.2 B
38% share
Coverage
1.8×
FY Revenue
100B 50B 0 Q1·24 Q2·24 Q3·24 Q4·24 Q1·25 Q2·25 Q3·25 Q3·26
< 12 months > 12 months
Segmente · Revenue Mix
FY 25 · $130.5 B
Reported revenue by business segment. Concentration visible at a glance.
Data Center
+217% YoY
88%
Gaming
+15% YoY
7%
Pro Viz
+27% YoY
3%
Automotive
+55% YoY
2%
Supply Chain · NVIDIA · end-to-end flow
Q4 FY25 · Equipment → Foundry → Memory → Packaging → NVIDIA → Cloud → Apps
Supplier conc. HIGH · TSMC 92% Customer conc. MEDIUM · Top 4 = 45%
Who supplies whom? From EUV lithography equipment to ChatGPT output. 7 stages, >30 players, all interconnected. Extracted from 10-Ks, TrendForce, hyperscaler capex and SemiAnalysis.
EQUIPMENT FOUNDRY MEMORY PACKAGING + NET NVIDIA HYPERSCALER APPS · END-USER ASML EUV $380M/Maschine Applied Mat. Etch · CVD Lam Research Etch Tokyo Electron Coater TSMC 92% N3 · N2 · 3nm Wafer Samsung Foundry 5% 4nm · backup SK Hynix · HBM3e 50% ~$8 B FY · market leader Samsung · HBM 35% ~$5 B · qualification in progress Micron · HBM3e 15% ~$2.2 B · Newcomer TSMC CoWoS-S 96% Adv. Packaging · Bottleneck Broadcom · NVLink Net Tomahawk · 800G Marvell · Custom-Si DPU Co-Packaged Optics Foxconn · Assembly DGX / HGX-Boards NVIDIA $4.5 T MARKET CAP B300 · H200 · GB200 DGX · HGX · NVL72 $130.5 B FY 25 +114% YoY · 62% Op-Marge 80% AI-GPU-Share Microsoft Azure 19% ~$24.8 B Meta Platforms 13% ~$17.0 B · Llama Cluster Amazon AWS 10% ~$13.1 B · EC2 P5 Oracle Cloud 7% ~$9.1 B · OCI Google Cloud 6% ~$7.8 B CoreWeave 5% ~$6.5 B · Neo-Cloud OpenAI GPT-5 Meta AI Llama 4 Anthropic Claude 4 xAI Grok 4 DeepMind Gemini 2 Enterprise Copilot · Cursor ▲ ASML & TSMC are both single-source — a Taiwan crisis would knock out 90% of AI-GPU production ▲ CoWoS packaging capacity at TSMC = primary bottleneck · capex doubling planned for 2026/27 — Bandwidth proportional to volume · pulse shows the main value chain
Stage 1 → 7 · 30+ players · top bottleneck: TSMC CoWoS 10-K · TrendForce · SemiAnalysis · Bloomberg · hyperscaler capex
Tier-Map Supply chain · key players & dependencies Single-source = red
StageKey playerComponent Market shareNVDA dep.Lead timeRisk
EquipmentASMLEUV lithography100%critical12–18 moSingle-source
FoundryTSMCN4 / N3 wafers92%critical6 moConcentration
PackagingTSMC CoWoS2.5D advanced packaging~85%critical3–4 moBottleneck #1
HBM memorySK HynixHBM3e stacks~62%high2–3 moDual-source
HBM memoryMicron · SamsungHBM3e (2nd source)~38%medium2–3 moqualified
NetworkingBroadcom · MarvellCustom switch silicon—medium2 moMulti-source
SubstrateIbiden · UnimicronABF substrates—medium3 motight
CustomersMSFT · META · AMZN · GOOGLHyperscaler capexTop 4 ≈ 45%——Conc. medium
CoWoS packaging capacity (bottleneck #1)
k wafers/month · TSMC expansion plan · NVDA takes ~65%
2024
35k
2025e
70k
2026e
105k
Concentration risk
% dependency on single/top source · lower = more robust
EUV (ASML)
100%
Foundry (TSMC)
92%
Packaging (CoWoS)
85%
HBM (SK Hynix)
62%
Country Growth · Geo Mix
FY 25 · Billing-Location
United States
47%+163%
Singapore
18%+140%
Taiwan
16%+180%
China (incl. HK)
13%+66%
Rest of world
6%+95%
Financial metrics.
10 years · GAAP · in $bn
FYRevenueGross profitEBITDAEBITNet incomeEPS
FY 2016$5.01$2.88$0.95$0.75$0.61$0.27
FY 2017$6.91+37.9%$4.06+41.0%$2.12+123%$1.93+157%$1.67+170%$0.74+175%
FY 2018$9.71+40.6%$5.82+43.4%$3.41+60.8%$3.21+66.3%$3.05+82.6%$1.26+70.3%
FY 2019$11.72+20.7%$7.17+23.2%$4.18+22.6%$3.80+18.4%$4.14+35.7%$1.69+34.1%
FY 2020$10.92−6.8%$6.77−5.6%$3.47−17.0%$2.85−25.0%$2.80−32.4%$1.13−33.1%
FY 2021$16.68+52.8%$10.40+53.6%$5.29+52.4%$4.53+58.9%$4.33+54.6%$1.73+53.1%
FY 2022$26.91+61.3%$17.48+68.1%$10.83+105%$10.04+122%$9.75+125%$3.85+123%
FY 2023$26.97+0.2%$15.36−12.1%$5.62−48.1%$4.22−58.0%$4.37−55.2%$1.74−54.8%
FY 2024$60.92+125.9%$44.30+188%$34.41+512%$32.97+681%$29.76+581%$1.21+288%
FY 2025$130.50+114.2%$97.86+121%$83.00+141%$81.45+147%$72.88+145%$2.99+147%
Balance sheet · FY 25.
As of 01/26/2025 · all values in USD
Cash & Equivalents
$43.2 B
+96% YoY
Short-term investments
$25.6 B
+187% YoY
Total debt
$10.3 B
±0% · stable
Net Cash
$58.5 B
+182% YoY
Total Assets
$111.6 B
+71% YoY
Total Equity
$79.3 B
+93% YoY
Working Capital
$60.7 B
+118% YoY
D/E Ratio
0.13×
Very low
Current Ratio
4.4×
Top liquidity
Inventory
$10.1 B
+48% YoY
Goodwill
$5.2 B
stable
Book value / share
$3.24
+93% YoY
Valuation · vs. sector & history.
Sector: Semiconductors
MultipleCurrent5-yr avgSectorTag
P/E (TTM)61.5×54.2×24.1×+155%
P/E (Forward)28.4×—21.3×+33%
PEG0.621.101.45−57%
P/B52.4×22.8×5.9×+788%
P/S34.3×18.6×4.7×+630%
EV / EBITDA54.0×41.5×15.2×+255%
EV / Revenue33.8×17.9×4.4×+668%
Dividend yield0.02%0.07%1.85%below sector
DCF Fair Value$198——~7% below
Retail sentiment.
last 24 h · aggregate from 4 sources
r/wallstreetbets · Reddit
Bullish
78%
2 412 mentions · +34% vs. 7-day avg
Bull 78%Neutral 13%Bear 9%
$NVDA · X / Twitter
Bullish
82%
12 410 mentions · reach 8.4 M accounts
Bull 82%Neutral 11%Bear 7%
r/stocks · Reddit
Bullish
71%
983 mentions · calmer than WSB
Bull 71%Neutral 18%Bear 11%
News aggregate · 47 sources
Positive
0.68
412 articles · score −1 to +1
Positive 74%Neutral 18%Negative 8%
Top Holders.
13F · Q4 2024 · live update from SEC filings
HolderSharesStake %ValueΔ quarter
Vanguard Group
Index fund · USA
2.29 B9.34%$418.6 B+1.2%
BlackRock Inc.
Asset manager · USA
1.84 B7.51%$336.5 B+0.8%
FMR LLC (Fidelity)
Active manager · USA
1.42 B5.79%$259.5 B−2.1%
State Street Corp.
Index / ETF · USA
1.03 B4.21%$188.5 B+0.4%
Jen-Hsun Huang
CEO · Insider
859 M3.50%$156.8 B−0.6%
Geode Capital
Index fund · USA
501 M2.04%$91.3 B+1.5%
T. Rowe Price
Active manager · USA
374 M1.53%$68.3 B−3.4%
JPMorgan Chase
Asset manager · USA
291 M1.19%$53.1 B+2.0%
Morgan Stanley
Asset manager · USA
266 M1.08%$48.6 B+0.9%
Norges Bank (NBIM)
Sovereign fund · Norway
231 M0.94%$42.2 B+0.3%
Growth forecast · 5 yr.
Consensus · Bloomberg · FactSet
Consensus forecast · in $bn
Revenue Net income
400 270 130 0 FY25 act FY26 e FY27 e FY28 e FY29 e FY30 e
Business model · NVIDIA in 12 chapters.
Auto-generated from 10-K · earnings calls · investor day · CFO commentary
01 · What NVIDIA sells
NVIDIA sells AI accelerators — GPUs for training and inference, increasingly as complete system solutions (DGX, HGX, NVL72 rack-scale). On top come networking components (Mellanox acquisition, NVLink, Spectrum-X) and software (CUDA, NIM, Omniverse, AI Enterprise). Hardware remains the revenue driver, but the software layer is the real moat.
02 · Segments · where revenue comes from
Data Center 88% ($115 B), Gaming 7% ($9 B), Professional Visualization 3%, Automotive 2%. Before 2022 Gaming was >50% — the shift in <3 years is unprecedented. Within Data Center: 54% compute GPU, 36% networking, 10% systems & software. The mix keeps drifting toward software.
03 · Who buys · top customers
Microsoft Azure 19%, Meta 13%, AWS 10%, Oracle 7%, Google Cloud 6%, CoreWeave 5%. Top 4 = 49% of data-center revenue. Plus xAI (Colossus, Memphis), Tesla, Tencent (14% before export controls, now <5%), sovereign clusters (UAE, Saudi, France, India). Concentration risk medium.
04 · CUDA · the real moat
CUDA is not a chip — it's an 18-year-old software platform with 4.5 M developers and millions of lines of code (cuDNN, TensorRT, NCCL, RAPIDS). Migration costs to AMD ROCm or custom ASICs are high — frameworks (PyTorch, JAX) optimize primarily for CUDA. Even if AMD ships cheaper chips, the ecosystem is missing. Classic platform lock-in.
05 · Pricing power & margins
Gross margin 75%, operating margin 62%, net income margin 56% — on $130 B revenue. A B300 GPU costs ~$40k at a material cost of ~$3-4k. Pricing power comes from scarcity (CoWoS bottleneck) + software lock-in + 12-month lead times. Customers pay a premium for "next available".
06 · Supply chain & dependencies
Single-source risks: TSMC 92% wafers (N5/N4/N3), SK Hynix 50% HBM3e, TSMC CoWoS-S advanced packaging (bottleneck). Foxconn assembles. Diversification is underway (Samsung foundry for backup, Micron HBM ramp), but TSMC stays structurally irreplaceable. Taiwan exposure = primary tail risk.
07 · R&D pipeline · what comes next
Blackwell B100/B200/B300 (live), Rubin (sample 2026, GA 2026/27), Vera Rubin Ultra (2027/28), Feynman (2028). Architecture cadence shortens from 2 years to annual. NVLink switch generations in parallel. R&D spend $12 B (9% of revenue) — low thanks to operating leverage.
08 · Capital allocation
FCF FY 25 ~$60 B. Of that: $30 B buybacks (ongoing $50 B program approved), $4 B dividends (yield 0.02%, symbolic), the rest a cash pile ($43 B). Strategic M&A small (Run:ai, Brev). Jensen's line: "Dilution costs us more than holding cash — so we buy back." Very capital-efficient.
09 · Geography & compliance
USA 47%, Singapore 18% (sales hub for Asia), Taiwan 16%, China incl. HK 13%. US export controls tightened since October 2022 (H800/H20 special variants, license requirements). China share was 25% before restrictions → 13% now. Sovereign compute deals (UAE, Saudi, India) partly fill the gap.
10 · Management · Jensen Huang
CEO & co-founder since 1993 (33 years). Holds 3.5% ($156 B). Known for a long-tenure strategy (leather jacket, "Suffering is good"). Top-100 employees: avg tenure 14 years, drop-out rate <2%. Very engineering-driven, weak COO backup. Concentration risk: Jensen's health/tenure = top risk.
11 · Growth drivers
(a) Inference wave — training was the driver so far, inference grows larger (reasoning models, agents). (b) Sovereign AI — 30+ nation clusters planned. (c) Enterprise roll-out — Copilot/AI agents in every company. (d) Auto & robotics — DRIVE, GR00T humanoid. (e) Networking — Spectrum-X as a second growth engine.
12 · Risks & bear case
Capex peak — hyperscaler spending normalizes in 2027/28. Custom ASICs (Trainium, MTIA, TPU) gain share (Anthropic on Trainium2). Open-source efficiency (DeepSeek) compresses the foundation-model premium. Valuation — at 34× P/S, historically tight. Geopolitics — Taiwan disruption = -90% output.
Product Portfolio · NVIDIA
Q2 FY26 · Datacenter-Stack · GPU → CPU → Networking · Specs vs. AMD · Intel · Broadcom
NVIDIA Competition
01 · GPU Datacenter-Accelerators Source · NVIDIA datasheets · TrendForce
ProductArchitectureFP4 denseFP8 dense HBMBandwidthTDPNVLinkLaunch
GB200 NVL FlagshipBlackwell20 PF10 PF384 GB16 TB/s2700 W1.8 TB/s2024
B300 UltraBlackwell15 PF10 PF288 GB8 TB/s1400 W1.8 TB/s2025
B200Blackwell9 PF4.5 PF192 GB8 TB/s1000 W1.8 TB/s2024
H200Hopper—2 PF141 GB4.8 TB/s700 W0.9 TB/s2024
H100 SXMHopper—2 PF80 GB3.35 TB/s700 W0.9 TB/s2022
FP8 Training-Compute
PFLOPS dense · per accelerator · higher = better
NVDA B200
4.5
AMD MI325X
2.6
AMD MI300X
2.6
Intel Gaudi3
1.8
Google TPU v5p
0.92
HBM memory
GB per accelerator · higher = better
NVDA B300
288
AMD MI325X
256
AMD MI300X
192
Intel Gaudi3
128
NVDA H100
80
02 · CPU Grace · Arm-Server-CPU Arm Neoverse V2 · LPDDR5X
ProductCoresArchitectureMemoryBandwidthTDPLaunch
Grace Superchip144Arm Neoverse V2960 GB LPDDR5X1.0 TB/s500 W2023
GB200 Grace72Arm V2 + 2×B200480 GB + 384 GB HBM1.0 TB/s2700 W2024
GH20072Arm V2 + H200480 GB + 141 GB HBM1.0 TB/s1000 W2024
CPU memory bandwidth
TB/s · higher = better
NVDA Grace
1.00
AMD EPYC 9965
0.61
Intel Xeon 6980P
0.55
Cores per socket
physical cores · higher = more throughput
AMD EPYC 9965
192
NVDA Grace
144
Intel Xeon 6980P
128
03 · NET Networking · Switches · Cables NVLink · InfiniBand · Spectrum-X · LinkX
ProductTypeBandwidthPorts / LanesLatencyLaunch
NVSwitch 4Switch-Chip14.4 TB/s72 Ports—2024
NVLink 5Interconnect1.8 TB/s18 Links—2024
Quantum-X800InfiniBand800 Gb/s144×800G<1 µs2024
Spectrum-X800Ethernet800 Gb/s64×800Glow2024
ConnectX-8SuperNIC800 Gb/sPCIe 6.0—2024
LinkXDAC / AOC cables800 Gb/s——2024
Switch capacity
Tb/s per switch ASIC · higher = better
NVDA NVSwitch 4
115
Broadcom TH5
51.2
Marvell Teralynx10
51.2
Cisco G200
51.2
Port-Speed
Gb/s per port · 2024/25 generation
NVDA Quantum-X800
800
Broadcom Tomahawk5
800
Intel/Cornelis CN5000
400
AMD/Pensando
400
Read: NVIDIA leads clearly on compute (FP8), memory bandwidth and switch capacity ahead of AMD and Intel. The real moat lies in the vertically integrated stack — GPU + Grace CPU + NVLink/Spectrum networking as one system (rack-scale NVL72), where competitors deliver only individual building blocks.
Markets & Sectors
24 global themes · live-updated · click to open
24 sectors · 6,480 names
AI · Hot$2.5 T
Artificial Intelligence
Foundation Models · GPU · Cloud
1Y+68.4%
YTD+24.1%
Players240+
Hot$3.8 T
Semiconductor
Foundry · Fabless · Memory · Equipment
1Y+54.2%
YTD+19.8%
Players120+
Stable$1.4 T
Cloud & SaaS
Hyperscaler · Vertical · Infra
1Y+21.7%
YTD+8.4%
Players180+
Hot$420 B
Cybersecurity
Endpoint · Cloud · Identity
1Y+34.2%
YTD+11.6%
Players80+
Mixed$1.1 T
Electric Vehicles
OEM · Battery · Charging
1Y+18.4%
YTD−2.7%
Players95+
Stable$2.2 T
Pharma
Big Pharma · GLP-1 · Oncology
1Y+9.4%
YTD+3.1%
Players160+
Hot$510 B
Biotech
Gene-Editing · mRNA · Targeted Tx
1Y+28.1%
YTD+12.4%
Players340+
Stable$3.4 T
Banks & Finance
Global · Regional · Investment
1Y+22.6%
YTD+6.8%
Players280+
Hot$680 B
Defense
Aerospace · Drones · Cyber
1Y+31.4%
YTD+14.7%
Players65+
Mixed$890 B
Logistics
Freight · 3PL · E-Commerce
1Y+12.8%
YTD−1.4%
Players110+
Stable$540 B
Tobacco
Smokeless · Pouches · ENDS
1Y+11.2%
YTD+4.6%
Players14
Mixed$3.2 T
Energy
Oil · Gas · Renewables · Nuclear
1Y+7.4%
YTD−3.2%
Players220+
Hot$320 B
Robotics
Industrial · Humanoid · Vision
1Y+42.7%
YTD+18.2%
Players90+
Stable$1.6 T
Luxury
Fashion · Jewelry · Spirits
1Y+4.8%
YTD−2.1%
Players45+
Hot$1.9 T
Crypto & Web3
Spot-ETF · L1/L2 · Stablecoin
1Y+118%
YTD+34.8%
Players160+
Hot$280 B
Space
Launch · Satellite · Defense
1Y+38.4%
YTD+16.1%
Players38
Hot$140 B
Quantum
Hardware · Algos · Networks
1Y+82.4%
YTD+28.6%
Players42
Stable$780 B
Insurance
P&C · Life · Reinsurance
1Y+15.4%
YTD+5.8%
Players95+
Mixed$680 B
Real Estate
REITs · Wohnen · Logistik
1Y+3.8%
YTD−1.7%
Players140+
Hot$410 B
Streaming & Gaming
Streaming · Mobile · Esports
1Y+22.6%
YTD+9.4%
Players85+
Stable$240 B
Cannabis
Medical · Recreational · Wellness
1Y+18.4%
YTD+11.2%
Players62
Stable$1.2 T
Telecom
5G · Fiber · Tower
1Y+6.4%
YTD+2.1%
Players75+
Hot$310 B
AgTech & Food
Precision · Vertical Farming · Alt-Protein
1Y+24.1%
YTD+8.6%
Players110+
Hot$460 B
Fintech
Payments · Neobank · Lending
1Y+38.7%
YTD+14.4%
Players180+
Markets · back
Sektor-Tour · AI
Artificial Intelligence · the largest compute cycle in history.
Market Cap$2.5 T
CAGR ’23–’28+37%
Players240+
M&A YTD$48 B
The AI stack connects hardware makers, cloud providers, model labs and the application layer. GPU scarcity (TSMC wafers · HBM memory) drives $300 B of capex at hyperscalers; foundation models are consolidating onto a few providers (OpenAI, Anthropic, Google DeepMind, xAI). The app layer differentiates through vertical data and distribution. Geopolitics (export controls, Taiwan exposure) remains the primary tail risk.
AI stack · value-chain flow
Apps → Models Models → Cloud Cloud → Hardware
APPS MODELS CLOUD HARDWARE ChatGPT700M MAU ClaudeApps · API GeminiSearch · Workspace CopilotM365 · GitHub Meta AIIG · WhatsApp GrokX · Tesla PerplexitySearch · Comet OpenAI$500 B · GPT-5 Anthropic$170 B · Claude 4 DeepMindAlphabet · Gemini Meta FAIRLlama · Open xAI$75 B · Grok 4 Mistral$6 B · EU · Open Cohere$5 B · Enterprise AzureMicrosoft · MSFT AWSAmazon · AMZN GCPAlphabet · GOOGL Oracle CloudORCL · OCI CoreWeaveCRWV · Neo-Cloud Lambda LabsGPU · private NVIDIA$4.5 T · GPU-Monopol AMD$400 B · MI 350 Broadcom$1.4 T · ASIC TSMC$1.1 T · Foundry ASML$400 B · EUV ▲ NVIDIA monopolizes the GPU layer · TSMC fabs for everyone · OpenAI & Anthropic dominate the model layer
Geographic distribution
USA · Leader
68%
$1.70 T Market Cap · $215 B Capex
NVIDIA · OpenAI · Anthropic · Microsoft · Google · Meta · Oracle · CoreWeave
China · Challenger
19%
$475 B Market Cap · $58 B Capex · export controls
Alibaba · Baidu · ByteDance · DeepSeek · Moonshot · 01.AI · Huawei · SMIC
EU + UK · Open-Source-Hub
9%
$225 B Market Cap · strong in open models
Mistral · Aleph Alpha · ASML · Stability · Hugging Face · DeepL · BlackForestLabs
Datacenter operators · who runs, who builds, who pays
OperatorAI capex ’26 eGPU fleetLocationsPower needRegion focus
Microsoft (Azure)$80 B~1.4 M H100/B-Eq62 regions · 320+ DC~6.5 GWUSA · EU · Mid-East
Amazon (AWS)$75 B~1.1 M H100/B-Eq105 AZ · 215 DC~5.8 GWUSA · Asia · EU
Alphabet (GCP + DeepMind)$70 B~900 k40 regions · 180 DC~4.8 GWUSA · EU · Brazil
Meta Platforms$65 B~880 k21 mega-sites~4.6 GWUSA · Sweden · Spain
Oracle (OCI)$24 B~340 k72 regions~2.1 GWUSA · Saudi · UAE · India
CoreWeave$20 B~420 k32 sites · US-focused~2.4 GWUSA · UK
xAI · Colossus$12 B~250 k (Memphis)1 mega-site (Memphis) + EU~1.5 GWUSA-only
Tencent + Alibaba + Baidu$42 B~480 k (with Ascend)~110 DC~3.4 GWChina
Stargate (OAI + SoftBank + Oracle)$100 B (ramp ’26-’28)planned 2 M+Abilene TX · UAE · Norway~10 GW targetUSA · Mid-East · EU
Power consumption & energy sources
Global AI-DC Demand
~42 GW
FY 25 · forecast 110 GW by 2028 (+162%)
~3.4% of global power ~$190 B Power-Capex
USA · regional Top-3
~22 GW
Virginia (PJM) 5.4 · Texas (ERCOT) 4.8 · Arizona 2.6
Virginia grid at the limit
Power source mix
46% Clean
Solar 18% · Wind 14% · Nuclear PPAs 14% · Hydro 4%
Nuclear-Deals 2025
8.2 GW
MSFT · Three-Mile-Island · MSFT · Constellation 20Y PPA
SMR-Pipeline +12 GW
HyperscalerPower needPPA renewablesNuclear dealGrid partnerPUE
Microsoft6.5 GW22 GW contractedThree-Mile-Island · 835 MW · 2028Dominion · PJM · ERCOT1.12
Amazon AWS5.8 GW33.6 GW · global #1Talen Energy · 960 MW · 2024Dominion · AEP · Entergy1.15
Alphabet4.8 GW15 GWKairos Power · SMR · 500 MWDuke · Dominion · Nevada1.10
Meta4.6 GW14 GWConstellation · LoI · 2027Entergy · TVA · NV Energy1.08
Oracle2.1 GW4.2 GWSMR site · Texas (planned)ERCOT · UAE-Grid1.22
CoreWeave2.4 GW3.5 GW—Multi-Utility · USA1.18
xAI Colossus1.5 GW0 (gas turbines!)—MLGW (Memphis)1.30
Venture funding · AI · in $bn
$120 B $80 B $40 B 0 2018 2019 2020 2021 2022 2023 2024 2025 2026 e
Top startups · YTD funding rounds
OpenAI
Foundation Models
$500 B
Tender · Q2 2026
Anthropic
Foundation Models
$170 B
Series F · May 2026
xAI
Foundation Models
$75 B
Series D · April 2026
Perplexity
AI-Search
$18 B
Series E · March 2026
Cursor / Anysphere
Dev-Tools
$10 B
Series C · Feb 2026
Glean
Enterprise Search
$7.2 B
Series F · Jan 2026
Mistral AI
Open Foundation
$6.0 B
Series C · Dec 2025
Cohere
Enterprise LLM
$5.5 B
Series E · Nov 2025
Use cases · by industry
Coding assistants
$28 B TAM
Copilot, Cursor, Codeium · 76% of US developers use AI coding daily.
Customer Support
$24 B TAM
Intercom Fin, Zendesk AI, Sierra · 40% of tickets closed autonomously.
Drug Discovery
$18 B TAM
Isomorphic Labs, Recursion, AlphaFold · lead times from 4 yrs to 18 mo.
Defense & Intel
$22 B TAM
Palantir AIP, Anduril, Helsing · battlefield AI in 14 NATO states.
Marketing & Sales
$32 B TAM
Jasper, Writer, HubSpot AI · 68% of enterprise marketers run an AI stack.
Legal & Compliance
$14 B TAM
Harvey, EvenUp, Casetext · 4× faster contract review.
Multiples comparison · top AI stocks
CompanyMarket CapP/E FwdP/SEV/EBITDARev Growth1Y Return
NVIDIA$4.5 T28.4×34.3×54.0×+114%+182%
Microsoft$3.4 T31.2×13.4×22.8×+18%+34%
Alphabet$2.6 T22.4×7.1×14.1×+14%+28%
Meta$1.5 T24.8×9.2×15.6×+22%+46%
Broadcom$1.4 T34.1×22.6×27.8×+44%+96%
TSMC$1.1 T21.4×10.8×13.2×+38%+68%
Oracle$540 B26.8×8.7×17.2×+12%+58%
AMD$400 B32.6×11.4×28.9×+24%+42%
Palantir$220 B118×68×164×+34%+218%
Risks & tail events
GeoTaiwan crisis · a TSMC disruption would knock out 90% of AI-GPU productionhigh
MacroCapex cycle peak · hyperscaler spending normalizes in 2027/28med
Regul.US export controls · new HBM restrictions, China market share under pressuremed
TechOpen-source catch-up · DeepSeek effect compresses the foundation-model premiummed
EnergyPower constraints · US grid at the limit amid datacenter growthhigh
FinanceValuation premium · NVDA 34× P/S — historically tight rangelow
Products & flagships
NVDA
Blackwell B300
Training GPU · 1.5 PFLOPS · HBM3e · $40k+
OPENAI
GPT-5 · API + ChatGPT
700M weekly MAU · 80% LLM share
ANTH
Claude 4 Opus
Coding · Agentic · Constitutional AI
GOOG
Gemini 2 Ultra
Multimodal · Search · Workspace
MSFT
M365 Copilot
$30/Mo · 95% Enterprise-Reach
AVGO
Tomahawk 5 / 6
800G-Ethernet · AI-Backbone
TSM
N3 / N2 Foundry
3 nm · 92% AI-Chip-Output
ASML
EXE:5000 High-NA EUV
$380M / machine · monopoly
Compare · NVDA vs AMD
Side-by-side · 8 dimensions · 24 metrics · 10 years
Live · TTM values
NVDA · NVIDIA
NVIDIA Corporation
Semiconductors · AI · GPU · CUDA ecosystem · datacenter-GPU market leader (80% share)
$184.72
+2.34%
VS
AMD · Advanced Micro Devices
Advanced Micro Devices
Semiconductors · CPU · GPU · ROCm-Stack · #2 Data-Center-GPU · MI300X / MI350
$248.10
+4.21%
Fundamentals · FY 25 TTM
MetricNVDAAMDWinner
Market Cap$4.50 T$400 BNVDA · 11×
Revenue (FY 25)$130.5 B$25.8 BNVDA
Revenue YoY+114%+24%NVDA
5-yr revenue CAGR+67%+22%NVDA
Gross margin75%54%NVDA
Operating margin62%11%NVDA
Net Income Margin56%9%NVDA
FCF Margin46%14%NVDA
ROIC96.1%9.4%NVDA
R&D / Revenue9.2%23.4%AMD (relatively higher)
Revenue · 10-year history
in $bn · FY 16 – FY 25
NVDA AMD
$140 B $70 B 0 FY16 FY17 FY18 FY19 FY20 FY21 FY22 FY23 FY24 FY25
Backlog · Order-Book & Visibility
MetricNVDAAMDWinner
Reported RPO / Backlog$90.4 B~$15 BNVDA · 6×
Backlog YoY+42%+38%NVDA (narrow)
Coverage · FY Revenue1.8×0.6×NVDA
< 12-mo share38%62%AMD (shorter cycles)
Customer concentrationTop 4 = 49%Top 4 = 36%AMD (more diversified)
Lead time (B300/MI350)12 mo6 moAMD
Valuation · multiples vs sector
MultipleNVDAAMDSectorVerdict
P/E (TTM)61.5×58.2×24.1×AMD (slightly cheaper)
P/E (forward)28.4×32.6×21.3×NVDA cheaper fwd
PEG (forward)0.621.141.45NVDA (growth-adj.)
P/S34.3×14.8×4.7×AMD
P/B52.4×5.6×5.9×AMD
EV/EBITDA54.0×38.4×15.2×AMD
DCF Fair Value$198 · −7%$215 · −13%—AMD more upside (DCF)
Margin profile · gross margin · OP · NI · FCF
Profit-Margins · FY 25 · %
NVDA AMD
90% 60% 30% 0 Gross margin Op margin NI margin FCF margin 75% 54% 62% 11% 56% 9% 46% 14%
Overall score · 8 dimensions · who wins where?
Growth Profit Valuation Quality Innovation Mkt-Share Balance Momentum NVDA · total 84 AMD · total 62

Who wins where?

  • Growth · Revenue · CAGRNVDA
  • Profitability · marginsNVDA
  • Valuation · P/E / P/S / P/BAMD
  • Quality · ROIC · FCFNVDA
  • Innovation · R&D pipelineNVDA
  • Market share · GPU clustersNVDA
  • Balance Sheet · Net CashNVDA
  • Momentum · 1Y returnNVDA
Verdict: NVDA wins 7 / 8 dimensions. AMD only wins on valuation (cheaper on P/S, P/B, EV/EBITDA). NVDA's premium is justified by its margin lead (75% vs 54% GP), the CUDA moat and growth (+114% vs +24% YoY). AMD remains sensible as a second-order beneficiary with higher upside leverage — if ROCm adoption and the MI350 ramp succeed.
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Why Intrinsiq

What you get.

Fundamental analysis today means: gathering data from ten sources, paying for expensive terminals, interpreting tables yourself — and still missing the one filing that mattered. Intrinsiq turns those three problems into three advantages.

01

More data, less money

Data coverage
FilingsSEC 10-K · 10-Q · 8-K · Insider Form 4
FundamentalsIncome · Balance · Cashflow — 30+ years
Prices60+ exchanges worldwide · history & intraday
ProductsProduct lines & direct competitor comparison
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02

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Analysis

The AI has access to all the data — not just a summary. The result is a structured analysis with DCF, Graham Number, scoring, risks and competitor comparison. Every statement traceable back to the original filings, verifiable.

03

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Monitoring

You describe the trigger — a new 10-Q, an insider buy, a price threshold, earnings — and the AI agents watch the market for you 24/7, reaching out via Telegram or email the moment it happens. No more sitting and watching yourself.

Features

Everything for real fundamental analysis.

Intrinsiq unites raw SEC data, AI analysis and quantitative models — in one terminal, built for people who want to understand before they click.

01

AI fundamental analysis

Full reports by AI. DCF, Graham Number, intrinsic value, competitor comparison and risks — in one structured output.

AI-powered · auditable source chain
02

Quant Screener

Score 0–100 by Value, Growth, Quality and Momentum. From raw fundamentals — sortable, filterable, refreshed daily. No black box.

Updated every 12 hours
03

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Rule-based agents watch your watchlist 24/7. New 10-Q? Insider buy? Price drop? Straight to an alert on Telegram or email.

Telegram & email
04

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Your positions with live quotes, P&L and allocation. Import via Excel, CSV or screenshot. AI chat with your portfolio as counterpart.

Excel · CSV · screenshot import
05

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Daily brief at 07:00
06

Financial History

Annual and quarterly reports over a decade — structured, comparable, citable. With provenance straight from the original filings.

10+ years of history
One terminal,
that thinks.
60+
exchanges worldwide
30years
of financial history
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market monitoring
8AI
agents in parallel
How it works

From ticker
to decision.

i.

Enter a ticker

NVDA, AAPL, ASML — or any symbol you like. Instantly see all the data in one place: filings, fundamentals, prices, news, sentiment and history.

ii.

Analyze

Evaluate the data yourself — or let the AI do it. It has access to all the data, computes DCF, Graham, PEG, ROIC and delivers a structured analysis with reasoning, risks and competitor comparison.

iii.

Agents monitor

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Autonomous agents

Your own agents —
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Every trader has different signals. So do your agents.

Instead of waiting for pre-made alerts, you build agents that watch exactly what matters to you. No code needed — describe in a few words what should happen.

  • FundamentalNew filings · profit warnings · guidance changes · dividend cuts
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  • MarketInsider trades · institutional buys · unusual options volume
  • QualitativeSentiment shifts · news tone · management changes
  • Time-basedDaily briefing · earnings preview · post-market summary
  • Combined"Alert me if Score > 80 AND price < $200 AND a new 10-Q."
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    FAQ

    Frequently asked questions.

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    Fundamental data from 60+ global exchanges — including NYSE, NASDAQ, XETRA, LSE, SIX, Euronext, TSE. Over 30 years of history per security, including income statements, balance sheet, cashflow, ratios, growth metrics and SEC filings. Quantitative screening starts with US securities and keeps growing.
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