Waterstone Financial (WSBF) Cash from Operations (2013 - 2026)
Waterstone Financial (WSBF) posted Cash from Operations of $9.5 million for Q2 2026, compared with -$38.45 million a year earlier.
Waterstone Financial (WSBF) Cash from Operations (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Waterstone Financial was $44.74 million, down 47.9% year-over-year; for FY2025, it came in at $24.18 million, down 49.7% from FY2024.
- In prior years, Waterstone Financial's Cash from Operations was $48.06 million in FY2024, -$27.58 million in FY2023, $206.67 million in FY2022 (+45.5%) and $142.01 million in FY2021.
- Quarterly Cash from Operations has run from a low of -$40.08 million in Q2 2023 to a high of $142.6 million in Q1 2022 over five years.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q4 2022, with growth of 289.8%; the weakest was Q4 2025, with a decline of 86.5%.
- According to Business Quant data, Cash from Operations for the three prior quarters was -$647,000 (Q1 2026), $3.17 million (Q4 2025) and $32.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 6.78 Bn |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - | 9.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.50 Mn |
| Mar 31, 2026 | -647,000.00 |
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 32.72 Mn |
| Jun 30, 2025 | -38.45 Mn |
| Mar 31, 2025 | 26.74 Mn |
| Dec 31, 2024 | 23.43 Mn |
| Sep 30, 2024 | 74.09 Mn |
| Jun 30, 2024 | -39.52 Mn |
| Mar 31, 2024 | -9.94 Mn |
| Dec 31, 2023 | -999,000.00 |
| Sep 30, 2023 | 48.42 Mn |
| Jun 30, 2023 | -40.08 Mn |
| Mar 31, 2023 | -34.91 Mn |
| Dec 31, 2022 | 71.47 Mn |
| Sep 30, 2022 | 17.03 Mn |
| Jun 30, 2022 | -24.44 Mn |
| Mar 31, 2022 | 142.60 Mn |
| Dec 31, 2021 | 18.33 Mn |
| Sep 30, 2021 | 46.76 Mn |
Waterstone Financial Cash from Operations 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-from-operations&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "WSBF", "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-from-operations&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();