First Seacoast Bancorp (FSEA) Long-Term Debt Repayments (2022 - 2026)
First Seacoast Bancorp (FSEA) reported Long-Term Debt Repayments of $16,000 for Q2 2026, up 14.3% from $14,000 a year earlier and up 6.7% from the prior quarter.
First Seacoast Bancorp (FSEA) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, First Seacoast Bancorp's Long-Term Debt Repayments came in at $523,000; for FY2025, it was $520,000, down 98.0% from FY2024.
- Long-Term Debt Repayments has a four-year compound annual growth rate of -59.8% (FY2021 to FY2025).
- By year, Long-Term Debt Repayments came in at $25.8 million in FY2024 (+72.0%), $15 million in FY2023 (+563.1%), $2.26 million in FY2022 (-88.7%) and $20 million in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of $14,000 in Q1 2025 and a high of $10 million in Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | First Seacoast Bancorp | 80.89 Mn | 80.89 Mn | - | 16,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16,000.00 |
| Mar 31, 2026 | 15,000.00 |
| Sep 30, 2025 | 492,000.00 |
| Jun 30, 2025 | 14,000.00 |
| Mar 31, 2025 | 14,000.00 |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Mar 31, 2022 | 2.26 Mn |
First Seacoast Bancorp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FSEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();