Waterstone Financial (WSBF) Non Operating Interest Expenses (2012 - 2024)
Waterstone Financial (WSBF) recorded Non Operating Interest Expenses of $15.77 million in Q1 2024, up 94.8% from $8.1 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Non Operating Interest Expenses (2012 - 2024) Analysis & Trends
On a TTM basis, Waterstone Financial's Non Operating Interest Expenses came in at $56.67 million as of Mar 31, 2024, up 211.0% year-over-year; for FY2023, it was $48.99 million, up 268.6% from FY2022.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 20.2% (FY2018 to FY2023).
- Across earlier years, Non Operating Interest Expenses came in at $13.29 million in FY2022 (-7.5%), $14.37 million in FY2021 (-42.5%), $24.98 million in FY2020 (-9.3%) and $27.54 million in FY2019 (+41.1%).
- The Q1 2024 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q3 2012.
- On a year-over-year basis, Non Operating Interest Expenses has increased for six consecutive quarters, with growth averaging 157.9% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 427.6% in Q3 2023, against a decline of 46.4% in Q2 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.94 million (Q4 2023), $14.39 million (Q3 2023) and $11.57 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Waterstone Financial | 353.39 Mn | 145.66 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 15.77 Mn |
| Dec 31, 2023 | 14.94 Mn |
| Sep 30, 2023 | 14.39 Mn |
| Jun 30, 2023 | 11.57 Mn |
| Mar 31, 2023 | 8.10 Mn |
| Dec 31, 2022 | 5.06 Mn |
| Sep 30, 2022 | 2.73 Mn |
| Jun 30, 2022 | 2.34 Mn |
| Mar 31, 2022 | 3.17 Mn |
| Dec 31, 2021 | 3.41 Mn |
| Sep 30, 2021 | 3.39 Mn |
| Jun 30, 2021 | 3.55 Mn |
| Mar 31, 2021 | 4.02 Mn |
| Dec 31, 2020 | 5.31 Mn |
| Sep 30, 2020 | 6.14 Mn |
| Jun 30, 2020 | 6.61 Mn |
| Mar 31, 2020 | 6.93 Mn |
| Dec 31, 2019 | 7.15 Mn |
| Sep 30, 2019 | 7.22 Mn |
| Jun 30, 2019 | 6.93 Mn |
API Access
Waterstone Financial Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();