Waton Financial (WTF) Price to Book (2025 - 2026)
Waton Financial's Price to Book was 7.42 in the quarter ended Mar 31, 2026.
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Analysis
Waton Financial (WTF) Price to Book (2025 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - |
| 10 | Waton Financial | 95.48 Mn | 58.06 Mn | - |
API Access
Waton Financial Price to Book 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-book&ticker=WTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "WTF", "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-book&ticker=WTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();