First Seacoast Bancorp (FSEA) Non Operating Interest Expenses (2022 - 2024)
First Seacoast Bancorp's Non Operating Interest Expenses was $3.25 million in Q2 2024, up 61.8% from $2.01 million a year earlier and up 2.4% from the prior quarter.
Powered by 
Analysis
First Seacoast Bancorp (FSEA) Non Operating Interest Expenses (2022 - 2024) Analysis & Trends
On a trailing twelve-month basis, First Seacoast Bancorp's Non Operating Interest Expenses was $11.04 million through Jun 30, 2024, up 129.7% year-over-year; for FY2022, it was $1.75 million, up 41.5% from FY2021.
- In earlier years, Non Operating Interest Expenses was $1.24 million in FY2021.
- The Q2 2024 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | First Seacoast Bancorp | 80.89 Mn | 80.89 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 3.25 Mn |
| Mar 31, 2024 | 3.18 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Jun 30, 2023 | 2.01 Mn |
| Mar 31, 2023 | 1.44 Mn |
| Dec 31, 2022 | 929,000.00 |
| Sep 30, 2022 | 427,000.00 |
| Jun 30, 2022 | 212,000.00 |
| Mar 31, 2022 | 179,000.00 |
API Access
First Seacoast Bancorp 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=FSEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FSEA", "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=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();