SharkNinja · Internal Training

Industry Analysis

Business Analytics Training, Session 2

Session 1 asked what the profit is. Session 2 asks where in the chain it sits, and why.

Industry Examples · The AI value chain

Industry Examples: one chain, three positions

Each link's revenue is the next link's cost. Where a company sits decides whether a demand boom shows up as its margin or as its volume.

A. The AI value chain

LinkWhoSellsBiggest costPlayers / pricing power
FabTSMCWafer fabricationFabs (fixed)Very few; high
Chip design (fabless)NVIDIA, AMDChips plus software ecosystemR&D (fixed), foundry fees (variable)Two or three; NVIDIA very high
CloudAWS, Azure, Google, OracleGPU hoursChips, power, data centersThree or four; medium
Model labOpenAI, AnthropicSubscriptions plus API per tokenTraining (fixed), inference compute (variable)A handful; medium
ApplicationsSaaS of all kindsSubscriptionsAPI fees paid to model labsCountless; low

B. NVIDIA

NVIDIA's fiscal year ends in late January, so FY2026 is mostly calendar 2025. FY2019 = before anything; FY2023 = the year ChatGPT launched; FY2026 = latest.

B1. Revenue and product mix

FY2019FY2023FY2026
Total revenue ($B)1227216
Data Center25%55%90%
Gaming (consumer GPUs)55%35%7%
Professional Visualization10%5%1%
Automotive5%3%1%
OEM & Other5%2%0%

B2. Who buys, at what price

LineBuyersUnit priceTypical dealAnnual volume
GamingTens of millions of gamers via 10 to 15 board partners and Dell / HP / Lenovo$300 to $4,000 per cardOne cardAbout 30 million cards (est.)
Data CenterAbout a dozen cloud providers and model labs; in FY2026 the top two direct customers were 22% and 14% of total revenueH100 / B200 about $25K to $40K per GPU (est.)One GB200 rack $3M to $4M (est.); OpenAI letter of intent for 10 GW, up to $100BA few million GPUs (est.)
Professional VisualizationDesign, media, engineering workstations$800 to $16,000 per cardIT fleet refreshNot disclosed
Automotive35+ automakers and Tier-1sNot disclosedDesign-win pipeline $14B over six yearsNot disclosed
Whiteboard math: two customers = 36% x 216 = about $78B. Thirty million gamers = $16B. Two buyers spend about five times what all gamers spend.

B3. Cost structure (% of revenue)

FY2019FY2023FY2026
Cost of revenue (TSMC, memory, packaging)40%45%30%
R&D20%25%9%
SG&A (marketing not separated)9%9%2%
Operating income32%16%60%

Where the cash goes now

  • COGS to TSMC and Samsung (wafers), SK hynix and Micron (memory), Foxconn and others (assembly and test).
  • Capex only about 3% of revenue (fabless, no factories).
  • $40B of share buybacks in FY2026.
  • $95B of supply prepayments and purchase commitments (up from $16B a year earlier), which is what "investing in production" looks like for a fabless company: prepaid capacity, not factories.

C. AMD: same position, different outcome

AMD's fiscal year equals the calendar year. Segments were redefined in 2022 after the Xilinx acquisition.

C1. Revenue, mix, and cost structure

2019202220232025
Total revenue ($B)7242335
Data Center~30% (old segments)25%29%50%
Client~70% (old segments)25%21%30%
Gaming(in Client above)30%27%11%
Embeddednone20%23%10%
Gross margin (GAAP)43%45%46%50%
R&D23%21%26%23%
MG&A11%10%10%12%
Operating income (GAAP / non-GAAP)9% / 13%5% / 27%2% / 21%11% / 22%
Largest single customerSony above 10%One Gaming customer 16%One Gaming customer 18%None above 10%
  • EPYC server CPUs $400 to $15,000 each.
  • MI300X about $10K to $15K (est.), one third to one half of NVIDIA's price.
  • Console chips have two buyers, Sony and Microsoft.
  • 2024 Instinct AI accelerator revenue "more than $5B", so two years into the boom AI GPUs were about one fifth of AMD's revenue.
The contrast: NVIDIA's percentages all collapsed (R&D 20% to 9%, SG&A 9% to 2%). AMD's barely moved. Same chain, same foundry, both fabless. With pricing power the boom becomes margin; without it the boom becomes volume. NVIDIA sells a GPU for two to four times AMD's price; the gap is the CUDA ecosystem.
Why 2023 matters: the year ChatGPT launched, NVIDIA's Data Center was already 55% of revenue and AMD's was 29%. NVIDIA's revenue held flat at 27; AMD's slipped to 23. Same year, same chain: one was already inside the boom, the other had not entered.

D. OpenAI: downstream, the buyer

OpenAI is private. All figures are press reports and leaked statements; directional only.

D1. Revenue and mix

2022202320242025
Revenue ($B)0.031.63.713
ChatGPT consumer subscriptionsnot splitnot split~75%~2/3
Business and enterprise seatsnot splitnot splitsmall~40% and rising
API per tokennot splitnot split~25%15% to 20%

D2. Price and volume anchors

AnchorValue
ChatGPT Plus / Pro$20 / $200 per month
Enterpriseabout $60 per seat per month, 150-seat minimum; a typical contract is 150 x 60 x 12 = about $110K per year
API flagship$5 / $30 per million tokens (input / output)
API cheap model$0.05 / $0.40 per million tokens
Users900M weekly active; 50M paying individuals; 1M paying businesses

D3. Cost structure ($B, reported)

20242025
Revenue3.713
R&D (includes training compute)7.819
Sales and marketing1.15.7
Inference computenot split8.4
Gross margin~40%~33%
Revenue share to Microsoft20% of revenue20% of revenue (capped at $38B from 2026)
Net loss538 (about 41 of it a one-time non-cash restructuring charge)
Whiteboard math: 2025 R&D of 19 exceeds revenue of 13. Gross margin of 33% versus 70% to 80% for classic SaaS; the missing half is what every token pays to cloud and chips. Announced compute commitments: Oracle about $300B over five years, NVIDIA up to $100B, AMD 6 GW, against $13B of annual revenue.
The chain closes: OpenAI's COGS is the cloud providers' revenue, which is NVIDIA's and AMD's revenue, which is TSMC's revenue. Margin climbs as you move upstream toward the scarce input: OpenAI 33%, AMD 50%, NVIDIA 71%.

Sources: NVIDIA and AMD figures from SEC 10-K and 8-K filings, rounded; unit prices and volumes are analyst estimates marked (est.); OpenAI figures from press reporting (CNBC, The Information, Bloomberg, FT-verified leaked statements) and are directional.

Spine · Industry Analysis · p.58

Industry Analysis

Seven blocks from the deck, walked as five whiteboard steps. The step number on each card is the order we draw it.

1Size and segment
2Structure
3Position
4Barriers and drivers
5So-what
Step1
Size and segment

Relevant Industry Conditions

  • Size (in volume and USD)
  • Profitability
  • Growth (historical and trends)
  • Segments (high vs low end)
  • Regulation
  • Technological advances
Step2
Structure

Industry Structure

Usually one of the following:
  • Perfectly competitive (price = marginal cost)easier to enter and capture market share
  • Oligopolymore difficult to enter, may face a price war
  • Monopoly (price > marginal cost)
  • Assess key players and their respective market share
Step3
Position

Value Chain

  • Vertical chain of production, including suppliers and distributors
  • Is the industry vertically integrated?
Step4
Barriers and drivers

Barriers and drivers

Four deck blocks, drawn as one whiteboard step.
4a

Barriers to Entry / Exit

Also see Growth Strategy (p.60)
  • Fixed cost component / economies of scale
  • Learning curve
  • Access to distribution channels
  • Access to suppliers
  • Regulation of assets (i.e. utilities)
4b

Key Drivers for Success

  • Consumer insightwhere is the value for consumers?
  • Technological advances
  • Brand equity
4c

Current Substitutes

  • New technologies and consumer trends usually create new substitutes
4d

Current Trends

  • Cost drivers (outsourcing, new competitors, etc.)
  • Product trends
So-what, part 1 · Growth Strategy · p.60

Growth Strategy

Mapping growth options: existing or new products, into existing or new markets.

Existing Market
New Market
Existing Products
Existing products × existing market
Increased Penetration
Existing products × new market
New Market Entry
New Products
New products × existing market
Product Development
New products × new market
Diversification

Increased penetration

  • Capacity to sustain increased volume
  • Increased marketing expense

Methods of market entry or product entry

  • Organic / greenfield
  • Acquisition
  • Partnership / joint venture

Additional factors for new product entry

  • Cannibalization
  • Trading up, trading down

Factors to consider for new market / new product

  • Industry structure and analysis (the Spine above)
  • Localization of product / service offerings, regulations, tariffs
  • Source of volume (steal share, create new market)
  • Quantify investment cost and risk
  • Prior experience with market / product entry: have they tried this before? If so, what was the outcome?
  • Customer-related barriers to entry
    • Switching costs
    • Access to distribution channels
    • Brand awareness
  • Non-customer-related barriers to entry
    • Capital requirements
    • Regulation
    • Economies of scale
So-what, part 2 · Marketing · p.61

Marketing

Framework for strategic marketing: five steps from analysis to measurement.

1
Strategic analysis

Three "C" analysis

Customer
Company
Competition
2
Strategic objectives

Choose one generic strategy

Product Differentiationor Cost Leadershipor Focus Strategy
3
Marketing objectives

Target market, positioning, demand strategy

  • Target market / positioning
  • Demand strategy
Market Segmentation Target Market Selection Positioning
4
Marketing tactics

4 P analysis, the marketing mix

P1Product
P2Price
P3Place (channels)
P4Promotion
5
Measuring outcomes

Get, keep, sell more

Customer acquisitionGet Customer retentionKeep Share of walletSell more