PGCONSUMER DEFENSIVEFree preview

Procter & Gamble Company

Last close: $142.65Last updated: Sep 9, 2026

PG

— Procter & Gamble Company

INDUSTRY:HOUSEHOLD & PERSONAL PRODUCTS
SECTOR:CONSUMER DEFENSIVE

The Procter & Gamble Company (P&G) is an American multinational consumer goods corporation headquartered in Cincinnati, Ohio, founded in 1837 by William Procter and James Gamble. It specializes in a wide range of personal health, consumer health, personal care, and hygiene products; these products are organized into several segments including Beauty; Grooming; Health Care; Fabric & Home Care; and Baby, Feminine, & Family Care. Before the sale of Pringles to Kellogg's, its product portfolio also included food, snacks, and beverages.

OVERALL AI RATING

75/100

STRONG BUY

82% confidence · 8 of 8 factors

Higher when more factors have data and they agree with each other.

Strong buy outlook with highly favorable alignment: strong seasonal tailwinds.

FUNDAMENTALS OUTLOOK

66

/100

Favorable

+4% vs the model's 6-month fair value; ranks in the top 40% of mega caps by model upside.

Valuation against the model's 6-month target, reported financials, P/E versus this company's own history, and analyst consensus.

Fair Value

weight 0.3

+4.2% vs fair value (60th pct of mega caps)

Fundamentals

weight 0.12

revenue +2%, margin 22%, FCF yield +4.7%

P/E vs History

weight 0.08

P/E 20.6 vs 20.6 avg (-0.0σ)

Analyst Consensus

weight 0.08

consensus

SEASONALITY OUTLOOK

99

/100

Strong

Exceptional seasonal history with expected return of +12.0%.

The seasonal price model at both scored horizons.

Seasonal Forecast · 90d

weight 0.2

+14.8% expected

Seasonal Forecast · 30d

weight 0.04

+12.0% 30d

TECHNICAL OUTLOOK

50

/100

Neutral

Neutral market momentum and balanced indicators.

The volatility penalty. The chart classifier's short-horizon read is shown for reference but no longer weighs on the score.

Chart Signal

informational · no weight

+0.18

Volatility

weight 0.03

0.21 ann.

How the rating is built — each factor's weight × signal contributes to the composite; the contributions sum to the overall score. A factor with no data counts as neutral, so it neither helps nor hurts.

Fair Value

weight 0.3

How far today's price sits from the model's 6-month fair value estimate, ranked against companies of similar size.

+4.2% vs fair value (60th pct of mega caps)

+7.4

Seasonal Forecast · 90d

weight 0.2

The seasonal price model projected 90 days out, as an expected return. It reads this stock's own price history and repeating calendar cycles — not company news, earnings, or business quality. Same model as the 30-day factor below, read at a longer horizon.

+14.8% expected

+23.1

Chart Signal

informational · no weight

A machine-learning classifier reading momentum and trend structure across daily and weekly price bars. Needs about 5 years of trading history. Shown for information only: it reads roughly five days ahead, shorter than the score's horizon, so it carries no weight in the AI Score.

+0.18

+0.0

Fundamentals

weight 0.12

Reported results, not projections: revenue growth, operating margin, and free cash flow measured against market value. Loss-making or cash-burning companies score negative here.

revenue +2%, margin 22%, FCF yield +4.7%

+7.8

P/E vs History

weight 0.08

Today's price-to-earnings against this company's own trailing average, in standard deviations. Needs positive earnings.

P/E 20.6 vs 20.6 avg (-0.0σ)

+0.1

Analyst Consensus

weight 0.08

Wall Street consensus ratings, weighted by conviction.

consensus

+7.2

Seasonal Forecast · 30d

weight 0.04

The same seasonal price model as the 90-day factor above, read 30 days out. A near-term and a medium-term view of one forecast, which is why they can disagree.

+12.0% 30d

+4.7

Volatility

weight 0.03

An annualized volatility penalty. High volatility lowers the score; low volatility never raises it.

0.21 ann.

+0.0

Methodology & trust

What this is (and isn’t)

These outputs are generated by machine learning models trained on historical price, fundamental, and volume data. The models summarize historical data and current model outputs — they do not predict the future or constitute personalized investment advice. All figures are updated on a regular cadence and reflect the most recent available data at time of generation.

ŷRobot provides research and information, not personalized financial advice. Past performance is not a guarantee of future results.