US Equities Analysis

ALL — Allstate

Research evidence pack

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2. Company Fundamentals

2.1 Competitiveness

Metric Value
Operating Margins 18.95%
Profit Margins 17.81%
Return on Equity 45.22%
Return on Assets 7.52%
Free Float 0.26B
Dividend Yield 1.87%
Short Int % Utilisation 0.01%

2.2 Growth

Metric Value
Revenue Growth 3.0%
Free Cash Flow 12.43B
EBITDA 4.15 (Ratio)
Enterprise Value 61.56B
EV/Revenue 0.9
EV/EBITDA 4.15

Revenue growth of 3.0% suggests mature or challenged top-line momentum.

2.3 Management

Role Metric
Consensus Rating N/A

2.4 Return

Metric Value
Expected Return (Ann.)* 33.58%
Risk / Std Dev (Ann.)* 24.99%
1-Year Price Return* 28.96%

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

Metric Value
Last Price $261.41
52-Week Range $188.08 – $277.22
Observation Count 249 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: FCFF DCF is not the primary valuation method for financial institutions or REITs. 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 $263.20
Market capitalisation $66.55B
Revenue $67.07B
EBIT $13.55B
Reported free cash flow $9.88B
FCF yield 14.85%
Net debt / EBITDA NM

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 17:21:47.401788 UTC; latest reported fiscal period: 2025-12-31 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 9.47% 30.47%
Adjusted R² 0.07 0.17
Annualised residual volatility 22.56% 21.18%
Factor loading (t-statistic) FF3 FF5
Market excess return (Mkt-RF) -0.14 (-1.08) 0.22 (1.51)
Size (SMB) 0.23 (1.30) 0.36 (1.95)
Value (HML) 0.44 (2.88) 0.21 (1.18)
Profitability (RMW) NM 0.76 (5.02)
Investment (CMA) NM 0.17 (0.64)

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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