Ww International (WW) Price to Earnings (2025)
Ww International's (WW) Price to Earnings stood at 0.26 in Q4 2025, up 3.1% from the prior quarter.
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Analysis
Ww International (WW) Price to Earnings (2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.54 Bn | 9.54 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.59 Bn | -6.18 Bn | 812.22 Mn |
| 3 | Laureate Education | 5.32 Bn | 4.61 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.91 Bn | 39.55 Mn | 392.03 Mn |
| 5 | Covista | 4.27 Bn | 3.40 Bn | 284.63 Mn |
| 6 | Valvoline | 3.90 Bn | 3.61 Bn | 214.90 Mn |
| 7 | Stride | 3.27 Bn | 167.49 Mn | 217.28 Mn |
| 8 | Bright Horizons Family Solutions | 3.16 Bn | 2.61 Bn | 188.96 Mn |
| 9 | Onespaworld Holdings | 2.40 Bn | 2.30 Bn | 44.57 Mn |
| 10 | Ww International | 147.35 Mn | -560.01 Mn | - |
API Access
Ww International Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=WW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "WW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=WW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();