US Equities Analysis

GIS — General Mills

Research evidence pack

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2. Company Fundamentals

2.1 Competitiveness

Metric Value
Operating Margins 19.19%
Profit Margins 12.05%
Return on Equity 23.59%
Return on Assets 5.31%
Free Float 0.59B
Dividend Yield 6.78%
Short Int % Utilisation 11.78%

2.2 Growth

Metric Value
Revenue Growth 2.2%
Free Cash Flow 2.26B
EBITDA 6.26 (Ratio)
Enterprise Value 20.79B
EV/Revenue 1.13
EV/EBITDA 6.26

Revenue growth of 2.2% suggests mature or challenged top-line momentum.

2.3 Management

Role Metric
Consensus Rating N/A

2.4 Return

Metric Value
Expected Return (Ann.)* -13.14%
Risk / Std Dev (Ann.)* 27.08%
1-Year Price Return* -16.14%

Latest Market Data (as of 2026-08-14, US Eastern time):

Metric Value
Last Price $39.20
52-Week Range $31.75 – $51.33
Observation Count 251 trading days

The return and risk statistics use daily adjusted closes from the retrieved one-year series and annualise daily moments using 252 trading days. The last price is the latest regular-market price reported for the stated date. Source: Yahoo Finance market data.

2.5 FCFF DCF Valuation

FCFF DCF exception: WACC is outside the permitted 5.00%–30.00% model range. This post deliberately does not publish a mechanical enterprise value or implied per-share value on an unsuitable basis.

Available valuation input Value
Last market price $38.52
Market capitalisation $20.59B
Revenue $18.42B
EBIT $975.10M
Reported free cash flow $1.63B
FCF yield 7.90%
Net debt / EBITDA 8.81x

2.6 Investor-Style Research Screen

Educational screen Result
Buffett-inspired cash-quality checks not rated — FCFF DCF suitability or data-integrity condition not met
Lynch-inspired balance-and-growth checks not rated — FCFF DCF suitability or data-integrity condition not met

Data lineage: Yahoo Finance public market and reported-statement data; retrieval timestamp: 2026-08-18 17:35:03.159301 UTC; latest reported fiscal period: 2026-05-31 00:00:00. Financial institutions and REITs require sector-specific methods rather than a mechanical FCFF DCF. This is research and analysis only, not personalized financial advice.

2.7 Quantitative Factor Diagnostics

Model basis: Daily issuer USD excess returns are regressed in-sample using ordinary least squares on matching regional Fama–French factors. FF3 estimates market, size, and value loadings; FF5 adds profitability and investment. Coefficients are descriptive historical exposures, not predictions.

Estimation input Value
Regional factor set US
Factor-return currency USD
Issuer-return basis USD adjusted total return
Estimation window 2025-08-19 to 2026-06-30
Aligned daily observations 217
Minimum observation requirement 120
Currency conversion for HK listings not required

Fama–French Three-Factor and Five-Factor Results

Diagnostic FF3 FF5
Annualised alpha -33.41% -21.65%
Adjusted R² 0.07 0.17
Annualised residual volatility 23.69% 22.18%
Factor loading (t-statistic) FF3 FF5
Market excess return (Mkt-RF) -0.29 (-2.08) 0.08 (0.52)
Size (SMB) 0.46 (2.45) 0.34 (1.78)
Value (HML) 0.25 (1.54) -0.28 (-1.52)
Profitability (RMW) NM 0.46 (2.86)
Investment (CMA) NM 1.08 (3.91)

Definitions: Mkt-RF is the market return less the risk-free rate; SMB is small minus big; HML is high minus low book-to-market; RMW is robust minus weak profitability; CMA is conservative minus aggressive investment. Factor returns are sourced from the Kenneth R. French Data Library; issuer adjusted-return history is sourced from Yahoo Finance. For Hong Kong listings, adjusted HKD prices are converted into USD with daily USD/HKD closes before return calculation to match the USD regional factor basis. This is an in-sample historical regression; coefficients and t-statistics do not establish causation or predict future returns. This is research and analysis only, not personalized financial advice.

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