skills/full-company-analysis/references/modules/M098-consumer-packaged-goods-analyst-playbook.md

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<!-- Module: 098 | Title: Consumer Packaged Goods Analyst Playbook -->

## PART XV - SECTOR PLAYBOOKS | MODULE 098

# Consumer Packaged Goods Analyst Playbook

> Mission. Build a sector-specific research system for Consumer Packaged Goods that converts operating data into financial outcomes, highlights the accounting areas most likely to distort comparability, and selects valuation methods that reflect the sector's economics.

## Economic engine and binding constraints

Model volume, price, mix, distribution, market share, commodities, productivity, advertising, innovation, retailer inventory, and elasticities. Separate nominal pricing from real unit growth and distribution gains.

## Primary KPI stack

| KPI | Construction / analyst control |
| --- | --- |
| organic sales | Reported sales growth excluding acquisitions/divestitures and usually FX, using the company's disclosed constant-currency/organic methodology. Validation: Tie the dollar measure to filed statements/footnotes; reconcile classification adjustments, one-time items, acquisitions/FX, and period consistency before using it analytically. |
| volume | Revenue growth bridge = volume effect + price effect + mix effect + FX/acquisition effects, using a consistent base |
| price | Revenue growth bridge = volume effect + price effect + mix effect + FX/acquisition effects, using a consistent base |
| mix | Revenue growth bridge = volume effect + price effect + mix effect + FX/acquisition effects, using a consistent base |
| gross margin | Gross margin = gross profit / revenue |
| market share | Company sales/units divided by total category/market sales/units for the same geography, channel, and period. Validation: Recalculate from same-scope numerator and denominator; confirm period, units, cohort/geography, and issuer definition; reconcile material differences to filings or operating data. |
| promotion | Promotional discount dollars, promoted volume, or promotion weeks divided by total sales/volume/time, with depth and frequency separated. Validation: Recalculate independently from cited source data; verify definition, period, units, scope, signs, and any reconciliation to reported financial or operating totals. |
| advertising | Advertising and marketing spend divided by sales, supplemented by incremental sales/gross profit per dollar where measurable. Validation: Recalculate independently from cited source data; verify definition, period, units, scope, signs, and any reconciliation to reported financial or operating totals. |



## Sector-specific accounting and comparability traps

- Trade spend: reconcile issuer treatment with peer treatment and quantify the effect on reported growth, margin, cash flow, capital, or valuation before comparing outputs.

- Inventory: reconcile issuer treatment with peer treatment and quantify the effect on reported growth, margin, cash flow, capital, or valuation before comparing outputs.

- Restructuring: reconcile issuer treatment with peer treatment and quantify the effect on reported growth, margin, cash flow, capital, or valuation before comparing outputs.

- Brand impairment: reconcile issuer treatment with peer treatment and quantify the effect on reported growth, margin, cash flow, capital, or valuation before comparing outputs.

- Pension: reconcile issuer treatment with peer treatment and quantify the effect on reported growth, margin, cash flow, capital, or valuation before comparing outputs.

## Valuation frameworks

- P/E: common equity value per share divided by normalized diluted EPS; normalize taxes, one-time items, dilution, cyclicality, and non-operating income.

- EV/EBITDA: enterprise value divided by normalized EBITDA; adjust leases, pensions, minorities, recurring restructuring and capital intensity before peer comparison.

- FCF yield: normalized levered free cash flow divided by equity value; reconcile SBC, working capital, maintenance capex, taxes, and cycle before comparing companies.

- DCF: forecast FCFF from operating drivers, discount at a capital-structure-consistent WACC, model terminal growth/ROIC coherently, and bridge enterprise value to common equity.

## Sector diligence questions

- What is the most important leading indicator for Consumer Packaged Goods, and how many months does it lead reported revenue or cash flow?

## Sector stress and falsification

- Stress organic sales and volume together in the direction most likely to break the equity story; flow the result through working capital, capex, liquidity, financing, dilution, and valuation.

- Explicitly test trade spend. Determine whether it can make the reported sector comparison look better or worse without equivalent economic change.

## 99-point standalone execution extension

### Model architecture and forecast chain

Model volume, price, mix, distribution, market share, commodities, advertising, trade spend, and working capital by category/geography.

### Leading-indicator dashboard

Track scanner data, retailer inventory, price gaps, promotion, commodity costs, share, distribution points, consumer confidence, and private-label penetration.

### Primary-source map

SEC filings; BLS/CPI and commodity inputs; public scanner/retailer data when available; Census consumption categories; retailer filings; brand/distribution disclosures.

### Accounting normalization test

Trade promotions, pension, restructuring, brand intangibles, FX, and acquisition accounting can flatter organic comparisons.

### Valuation implementation

Use DCF, P/E, EV/EBIT, and FCF yield with durable brand/share and reinvestment assumptions.

### Worked numerical mini-case

> Illustrative price-volume case.

Volume falls 6%, price rises 8% and mix adds 1%. Nominal sales grow about 3%, but unit economics and share may be deteriorating. If commodity relief adds 150 bp margin, separate that from brand pricing power.

Test elasticity, private-label share, distribution and advertising support before treating pricing as durable.

### Monitoring and falsification cadence

Breaks include volume elasticity, private-label share gain, retailer bargaining power, brand underinvestment, or price increases masking unit decline.

At every quarterly update, rebuild the driver bridge from operating units to revenue, margin, cash flow and valuation; compare leading indicators with the prior forecast; record definition changes; and precommit the threshold that would trigger a thesis reset rather than a cosmetic estimate change.

## Sector exit standard

The Consumer Packaged Goods work is complete only when the analyst can explain the business in its native operating units, reproduce the KPI history, identify the binding growth constraint and marginal price setter, normalize sector-specific accounting, quantify a coherent adverse case, and translate the current market price into the operating expectations that must be met or exceeded.