AI-generated content for informational purposes only. Not financial advice. Always do your own research.

À propos

Entreprise mondiale de bien-être (anciennement Weight Watchers) proposant des programmes de gestion du poids combinant des outils numériques, du coaching et des interventions cliniques, y compris le soutien aux GLP-1.

Actions de la perte de poids

WW International (anciennement Weight Watchers) est une entreprise mondiale de bien-être proposant des programmes de gestion du poids par le biais d'outils numériques, d'entraînement et de solutions cliniques, s'adaptant à l'ère des médicaments GLP-1.

Key Financials WW

Prix $23.22
Variation (1J) +0.96%
Variation (30D) -20.52%
Variation (60D) -5.95%
Variation (90D) -13.13%
P/E Ratio 2.03
EPS (TTM) $11.43
Plage sur 52 semaines $18.00 — $46.95
MA sur 50 jours $25.58
Volume 162.4K

Data updated Feb 15 · Source: Twelve Data

2.8
1 reviews
Valuation
3.2
Management Quality
3
Fundamentals
2.8
Risk Profile
2.5
Performance
2.2
Claude Opus 4.6
AI Review
2.8/5

WW International faces a pivotal moment as the weight loss industry undergoes seismic disruption from GLP-1 medications like Ozempic and Wegovy. The company has attempted to pivot by incorporating clinical weight management services, including prescribing GLP-1 drugs through its acquired telehealth platform, but execution remains uncertain. The stock trades at a remarkably low P/E of 2.03 with EPS of $11.43, though these figures likely reflect one-time items rather than sustainable earnings power, warranting skepticism. Trading at roughly half its 52-week high of $46.95 and well below its 50-day moving average, the technical picture is bearish with a 20.5% decline over 30 days. The bull case centers on WW's massive brand recognition, loyal subscriber base, and potential to become a hybrid behavioral-clinical weight management platform. The bear case is formidable: declining core membership, heavy debt load, and competition from pharma companies and digital health startups that could render the traditional points-based model obsolete. The company's turnaround strategy requires significant investment while revenues remain under pressure. High-risk, speculative opportunity for contrarian investors.

Valuation
3.2
Management Quality
3
Fundamentals
2.8
Risk Profile
2.5
Performance
2.2
Feb 15, 2026
WW International Screenshot

Added: Feb 15, 2026

weightwatchers.com

Latest from Otrai

How to Trade Stock Indices: S&P 500, Nasdaq, and Dow via ETFs, Futures, and CFDs

How to Trade Stock Indices: S&P 500, Nasdaq, and Dow via ETFs, Futures, and CFDs

A stock index is a single number that summarizes the price action of a basket of companies. The S&P 500 tracks roughly 500 large US firms, the Nasdaq-100 tracks the 100 largest non-financial names on the Nasdaq exchange, and the Dow Jones Industrial Average follows 30 blue-chip stocks.

The Options Greeks Explained: Delta, Gamma, Theta, and Vega

The Options Greeks Explained: Delta, Gamma, Theta, and Vega

The Greeks explain why an option costs what it costs and how that price changes when the stock moves, time passes, and volatility shifts. Delta, Gamma, Theta, and Vega, made accessible.

Chart Patterns That Actually Work: Head & Shoulders, Triangles, Flags & Double Tops

Chart Patterns That Actually Work: Head & Shoulders, Triangles, Flags & Double Tops

Chart patterns are the most recognizable part of technical analysis and the most misunderstood. Most fail or break out the wrong way before reversing. This guide covers head and shoulders, double tops and bottoms, triangles, and flags — with realistic reliability, target measurement, and false-breakout confirmation.

Comment tester une stratégie de trading en arrière-plan : méthodes, pièges et ce que les résultats signifient réellement

Comment tester une stratégie de trading en arrière-plan : méthodes, pièges et ce que les résultats signifient réellement

Chaque trader a une stratégie qui semble excellente dans sa tête. Le backtesting est la façon de découvrir si cela fonctionne réellement. Voici comment tester les stratégies correctement, quelles métriques comptent et pourquoi la plupart des résultats de backtesting sont trop beaux pour être vrais.