Sector &
Subsector
Valuation

Banks earn the spread between what they pay depositors and what they charge borrowers. Their "product" is risk — they price credit risk, duration risk, and liquidity risk. Standard P/E is meaningless because leverage is the business model, not a risk overlay.

• ROE vs cost of equity: A bank trading at 1× book should earn ~10% ROE. If ROE consistently exceeds cost of equity, a premium to book is justified. If ROE chronically undershoots, discount to book is deserved.
• NIM trend: In rising rate environments, banks with variable-rate loan books and sticky low-cost deposits expand NIM rapidly — a powerful earnings tailwind. Rate sensitivity disclosures are critical.
• Asset quality cycle: NPL ratios are lagging indicators. Watch early-stage delinquency data, loan-loss provisions, and watch list loans as leading indicators of credit deterioration.
• Capital adequacy: CET1 ratio (Common Equity Tier 1) above regulatory minimums signals capacity for dividends, buybacks, and organic growth. Below-minimum banks are in survival mode.

• Rapid loan book growth significantly above GDP — often precedes credit cycle blowup
• Heavy reliance on wholesale funding rather than retail deposits — fragile in liquidity crises
• Declining NIM combined with expanding loan book — volume compensating for margin compression is unsustainable

Insurance companies collect premiums upfront and pay claims later — the "float" in between is invested for profit. Two entirely separate businesses sit inside one P&L: underwriting (collecting more in premiums than paying in claims) and investing (generating returns on the float).

• Combined Ratio: Loss Ratio + Expense Ratio. Below 100% = underwriting profit; above 100% = underwriting loss. Best-in-class P&C insurers (Berkshire's GEICO historically) run sustained combined ratios below 95%. Reinsurers accept higher combined ratios if float investment returns compensate.
• Reserve adequacy: Positive prior-year reserve development (i.e., releasing reserves set aside for past claims) can flatter earnings. Negative development signals chronic under-reserving — a serious red flag on management integrity.
• For life insurers: Embedded Value (EV) represents the present value of profits from the existing policy book. New Business Value (NBV) shows what new policies add. P/EV below 1× often signals value; above 2× demands exceptional growth justification.

• Consistent prior-year adverse reserve development — management has been systematically under-reserving
• Combined ratio above 105% without explicit float investment justification
• Concentration in catastrophe-exposed lines without adequate reinsurance cover

Asset managers earn fees on AUM — a percentage of client assets, often a management fee plus performance fee. The business model is capital-light with high operating leverage: fixed costs are low, and incremental AUM flows almost entirely to profit.

• Net flows are existential: An asset manager consistently losing AUM to redemptions will eventually wither regardless of investment performance. Organic growth rate (net new money / beginning AUM) above 5% is excellent; negative flows indicate structural competitive decline.
• Fee rate compression: The secular trend toward passive has compressed management fees industry-wide. Active managers must sustain above-benchmark returns to justify fee premiums or lose AUM to cheap index funds. A rising AUM with a falling fee rate means slower revenue growth than AUM headline suggests.
• Key-man risk: Star portfolio managers often own or are the investment process. Their departure can trigger significant redemptions. Look for institutionalised processes over individual dependency.

Payment networks (Visa, Mastercard) and fintech platforms benefit from network effects — the value of the network increases with every additional participant. They earn a toll on every transaction flowing through their rails. Evaluated differently from banks — they carry no credit risk.

• TPV growth rate — volume through the network is the primary growth driver; revenue follows from take rate × volume
• Take rate stability — competition and regulation can compress take rates over time; watch for pricing pressure signals
• Network density — proportion of merchants and consumers already on the network relative to total addressable market

Large pharma companies (Pfizer, Roche, AstraZeneca) hold diversified portfolios of patent-protected drugs generating high margins. The central challenge is the "patent cliff" — blockbuster drugs lose exclusivity and face generic competition. The pipeline must continuously replace eroding revenue.

• Patent cliff exposure: Map every major drug's exclusivity expiry date and the expected revenue erosion post-generic entry (typically 80-90% in year one). The 3–5 year revenue bridge from existing drugs to pipeline is the core valuation risk.
• Pipeline risk-adjusted NPV (rNPV): Each pipeline compound has a probability of approval (Phase I → 10%, Phase II → 30%, Phase III → 60%, Filed → 85%). The rNPV discounts peak sales estimates by both approval probability and time. Sum across the pipeline gives a portfolio-level view of future value.
• M&A as pipeline substitute: Many large pharma companies acquire pipeline rather than discover internally. Track deal multiples (EV/peak-year sales at what risk-adjustment) to assess capital allocation discipline.

Biotech companies are binary-event-driven. Pre-revenue companies are valued entirely on their pipeline — the probability and timing of clinical trial success. Standard P/E, EV/EBITDA are irrelevant for pre-revenue biotechs. The analyst must become, at least partly, a clinical scientist.

• Cash runway is survival: Pre-revenue biotechs burn cash. If cash runway falls below 18 months without a clear path to financing (partnership, equity raise, milestone payment), dilution or distress risk escalates sharply.
• Clinical catalysts calendar: Map every expected data readout — Phase II results, Phase III top-line data, FDA PDUFA dates. Each binary event is a potential 30-70% stock move. Position sizing and hedging around catalysts is a distinct skill.
• MOA (mechanism of action): Understanding whether the science is plausible requires reading the clinical data, not just the press release. Biotech investing rewards scientific literacy.

• Single-asset company with Phase II or earlier data — all-or-nothing risk with no commercial revenue to buffer failure
• Management team with no track record of taking a drug from Phase II to commercialisation
• Repeated equity dilutions at declining prices — suggests pipeline disappointments and desperate financing

Medical device companies sell capital equipment (MRI machines, surgical robots) and high-margin consumables (stents, implants, reagents). The razor-and-blade model — low-margin capital equipment that locks in high-margin recurring consumable revenue — is the premium business model in MedTech.

• Consumables as % of revenue above 50% — the stickier and more predictable the revenue, the higher the justified multiple
• Installed base growth — number of capital units placed in hospitals drives future consumable pull-through
• Procedure volume trends in key specialties (orthopaedics, cardiac surgery, neurology) are leading revenue indicators

Health insurers (UnitedHealth, Humana, Aetna) collect premiums and pay medical claims. The Medical Loss Ratio (MLR) — claims paid as a percentage of premiums collected — is the primary efficiency measure. Regulation (ACA in the US) mandates minimum MLR thresholds.

• MLR below 85% (commercial) or 88% (Medicare) signals strong underwriting discipline — the insurer is pricing risk accurately
• Membership growth in Medicare Advantage (MA) — the fastest-growing and highest-margin government programme in US health insurance
• Days Claims Payable declining — might signal adverse development (more claims coming in faster)

Luxury companies operate in a fundamentally different economics than mass consumer — aspiration, scarcity, and pricing power that increases with price (Veblen goods). The ultra-high-net-worth consumer is relatively recession-resistant, though the "aspirational" middle tier is highly cyclical.

• Pricing power above inflation — luxury brands raising prices 10%+ annually while maintaining volumes demonstrate genuine brand desirability
• China exposure — 35-40% of global luxury spend comes from Chinese consumers; Chinese GDP, consumer confidence, and anti-corruption campaigns are critical drivers
• Hermès scarcity model vs LVMH volume model — Hermès deliberately restricts supply; LVMH pursues market share in all segments. Both valid, but imply very different risk profiles in downturns

Pure-play e-commerce companies are valued on growth and unit economics, not near-term earnings. The central question is whether marketplace economics (high-margin take rates on third-party seller volumes) ultimately dominate over first-party retail (capital-intensive, lower-margin direct selling). Amazon's AWS funding its retail losses is the canonical example of cross-subsidisation.

• 3P (marketplace) vs 1P (direct) shift — marketplace revenue carries dramatically higher margins; companies transitioning to marketplace models are improving quality of earnings significantly
• Logistics and last-mile cost as % of revenue declining — the key operating leverage driver in e-commerce as scale builds

Traditional automotive is a capital-intensive cyclical business with thin margins. The EV transition fundamentally changes the competitive landscape — manufacturing, software, and battery chemistry become the key differentiators, not engine expertise. The industry is simultaneously managing ICE profitability and EV investment.

• EV gross margin — Tesla's automotive gross margin (ex-regulatory credits) is the benchmark; legacy OEMs frequently report negative EV unit economics in early ramp phases
• Inventory days — rising inventory signals demand softening faster than production is adjusting; dealers absorbing unsold vehicles precedes price cuts

Asset-light franchise restaurant models (McDonald's, Yum! Brands) have structurally different economics from company-owned restaurant operators — franchise royalties are near-100% gross margin, making franchise % of system an important quality indicator. Hotels and travel are measured on occupancy and revenue per available room/night.

Integrated majors operate across the full value chain — exploration, production, refining, and marketing. Their integration provides a natural hedge: when oil prices fall, upstream earnings shrink but downstream (refining margins) often improve. Standard P/E is useless because earnings are entirely a function of the oil price in any given year.

• Free cash flow breakeven: The oil price at which the company generates zero FCF after capex and dividends. Companies with FCF breakevens below $50/bbl can sustain dividends and buybacks even in oil price downturns; those above $70/bbl are vulnerable.
• Reserve replacement ratio (RRR): Proved reserves added (through discovery and acquisition) as a % of production. Below 100% means the company is depleting its asset base faster than it is replenishing it — a sustainability problem over time.
• NAV sensitivity: Build a NAV at strip (current forward curve) price, mid-cycle price, and base-case long-term price. Understanding the range of intrinsic value across scenarios is essential in a commodity business.

Pure upstream companies — they find and produce oil/gas but do not refine or sell directly to consumers. Their entire economics is the spread between production cost and commodity price. US shale E&Ps have transformed global supply dynamics, acting as a swing producer that responds to price signals within 6–12 months.

• Drill-through inventory (years of locations at current pace) — the crown jewel of a shale E&P; companies with 10+ years of Tier 1 inventory have durable competitive advantage
• Capital return framework — post-2020 US shale discipline shifted from growth to returns; companies returning 50%+ of FCF to shareholders via buybacks and dividends are rewarded by the market
• Hedging profile — excessive hedging at low prices caps the upside disproportionately; identify management's approach to macro positioning

Midstream companies transport, process, and store oil and gas. Unlike E&P, they earn tolls on volume — not the commodity price itself. Long-term fee-based contracts (often take-or-pay) provide cash flow stability. This makes midstream more like a regulated utility than an energy company.

Renewable energy developers, IPPs (Independent Power Producers), and equipment manufacturers have fundamentally different economics from fossil fuel energy. Revenue is contracted (PPAs — Power Purchase Agreements), the fuel is free (wind/solar), and the primary risk is capital cost and interest rate sensitivity rather than commodity price.

• PPA contract length and price vs current market rates — a 20-year PPA signed at low prices limits upside if market prices rise significantly
• LCOE declining trend — indicates the company is achieving cost improvements as technologies mature; above-industry LCOE is a competitiveness red flag
• Development pipeline quality — permitted and construction-ready projects in the pipeline are vastly more valuable than early-stage pipeline

Warehouses, distribution centres, and logistics properties — the infrastructure of e-commerce. The secular tailwind from e-commerce growth has made last-mile logistics properties among the most sought-after real estate globally. Rental growth in key infill markets (near major urban centres) has been exceptional.

• Mark-to-market opportunity — the gap between in-place rents and current market rents. Industrial REITs with large below-market rent rolls have embedded growth as leases renew
• Development yield on cost vs prevailing cap rates — if a developer can build a warehouse at a 7% yield and market cap rates are 5%, the development spread creates substantial value

Post-COVID, office REITs face structural headwinds from hybrid work. The bifurcation is stark: prime Grade A offices in gateway cities maintain high occupancy from "flight to quality"; secondary and suburban office is structurally impaired. Never has the "location, location, location" principle been more relevant.

• Percentage of portfolio that is Grade A / Prime in CBD locations — the rest may face structural vacancy
• WALE (Weighted Average Lease Expiry) — longer is better in a deteriorating demand environment; short WALE means heavy re-leasing risk

Data centre REITs own and operate server co-location facilities — the physical infrastructure of the internet and AI. Powered by secular demand growth, they command premium multiples relative to traditional REITs. The critical new constraint is power access — a secured power feed in a supply-constrained market is now as valuable as the building itself.

• Power pipeline (MW under construction vs MW secured) — the forward capacity pipeline is now the primary growth indicator
• PUE below 1.4 indicates energy-efficient operations — critical as AI workloads push power intensity per rack dramatically higher

Telecom operators maintain vast physical infrastructure (spectrum, towers, fibre, cables) and sell connectivity as a subscription. The business model is subscription-revenue heavy, capex-intensive, and increasingly commoditised. Differentiation comes from network quality, bundling (mobile + broadband + TV), and enterprise B2B services.

• EV/EBITDA minus capex is the most honest metric — depreciation in telecoms understates the true replacement capex needed to maintain network quality. EV/(EBITDA–Capex) compares cash generation to enterprise value without the accounting distortion.
• ARPU direction: ARPU declining in real terms signals commoditisation; flat-to-rising ARPU indicates the operator has pricing power through either market structure (duopoly) or product differentiation.
• Tower monetisation: Many operators have separated tower assets into independent tower companies (Cellnex, American Tower) — unlocking hidden balance sheet value. Monitor whether the operator has retained exposure to tower appreciation or has completely sold the asset.

• Net Debt/EBITDA above 3.5× combined with heavy 5G rollout spending — debt spiral risk in a rising rate environment
• Churn above 2% monthly in mobile — structural competitive loss, likely price-driven

Digital advertising platforms monetise user attention through targeted advertising. Their economics are driven by engagement (time on platform), advertiser demand, and the ability to prove ROI to advertisers. Network effects are powerful — more users attract more advertisers, higher CPMs attract more content creators, who attract more users.

• DAU/MAU ratio — the proportion of monthly users who return daily. Above 70% (Meta's historical level) indicates genuinely habitual usage; below 50% suggests the product is a utility, not a habit.
• CPM and CPC trends: Rising cost-per-thousand-impressions signals advertiser demand exceeding supply (good); declining CPM during economic slowdowns reveals the cyclical revenue sensitivity that platforms obscure behind user growth narratives.
• Regulation risk: Data privacy regulation (GDPR, CCPA, Apple ATT), antitrust investigations, and content moderation obligations are structural risks that are difficult to quantify but material.

Streaming businesses trade large upfront content investments for long-term subscription revenue. The economics require crossing a minimum scale threshold — below which content amortisation exceeds subscription revenue; above which the model becomes highly cash-generative. Content is both the moat and the cost.

• Content cost per subscriber declining as subscriber base grows — the operating leverage story. Netflix's content spend per subscriber has fallen dramatically as scale built
• Churn vs engagement correlation — high engagement (hours watched per subscriber per month) strongly predicts low churn; falling engagement precedes churn spikes

The mega-cap technology platforms span multiple GICS sectors but share common characteristics: durable network effects, multi-decade competitive positions, and capital allocation frameworks that fund new growth businesses from mature cash flows. Evaluated as conglomerates — sum-of-parts analysis is often more revealing than consolidated multiples.

• Sum-of-parts: Alphabet's YouTube, Google Cloud, Search, and Other Bets deserve separate valuation multiples — blending them into one EV/EBITDA misses the cloud business growth premium and the Search business maturity discount
• FCF excluding stock-based compensation (SBC) — mega-cap tech uses substantial SBC that GAAP treats as non-cash but represents real economic dilution; true FCF yield should subtract SBC