Waton Financial (WTF) Cash & Equivalents (2024 - 2026)
Waton Financial's Cash & Equivalents came in at $10.41 million for the quarter ended Mar 31, 2026, up 34.9% from $7.72 million a year earlier.
Waton Financial (WTF) Cash & Equivalents (2024 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2024, Waton Financial's Cash & Equivalents data covers 4 quarters.
- Cash & Equivalents carries a three-year compound annual growth rate of -18.3% (years ended Mar 2023 to Mar 2026).
- Going back by year, Cash & Equivalents was $7.72 million in the year ended Mar 31, 2025 (-73.3%), $28.86 million in the year ended Mar 31, 2024 (+51.2%) and $19.09 million in the year ended Mar 31, 2023.
- The five-year range for quarterly Cash & Equivalents is $4.95 million (the quarter ended Mar 31, 2024) to $14.35 million (the quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 2.20 Bn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | - |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 936.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 5.83 Bn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 365.00 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 2.66 Bn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 5.94 Bn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | - |
| 10 | Waton Financial | 95.48 Mn | 58.06 Mn | - | 10.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.41 Mn |
| Sep 30, 2025 | 14.35 Mn |
| Mar 31, 2025 | 7.72 Mn |
| Mar 31, 2024 | 4.95 Mn |
Waton Financial Cash & Equivalents 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=cash-and-equivalents&ticker=WTF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();