First Seacoast Bancorp (FSEA) Total Liabilities (2021 - 2026)
First Seacoast Bancorp (FSEA) posted Total Liabilities of $512.31 million for Q2 2026, down 5.8% from $544.04 million a year earlier and down 2.6% from the prior quarter.
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Analysis
First Seacoast Bancorp (FSEA) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, First Seacoast Bancorp's Total Liabilities came in at $535.75 million, up 3.3% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 5.9% (FY2021 to FY2025).
- In prior years, First Seacoast Bancorp's Total Liabilities was $518.73 million in FY2024 (+2.8%), $504.42 million in FY2023 (+3.3%), $488.09 million in FY2022 (+14.4%) and $426.61 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2024.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 14.4%; the weakest was Q2 2026, with a decline of 5.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $526.2 million (Q1 2026), $535.75 million (Q4 2025) and $546.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,099.88 Bn |
| 10 | First Seacoast Bancorp | 80.84 Mn | 80.84 Mn | - | 512.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 512.31 Mn |
| Mar 31, 2026 | 526.20 Mn |
| Dec 31, 2025 | 535.75 Mn |
| Sep 30, 2025 | 546.47 Mn |
| Jun 30, 2025 | 544.04 Mn |
| Mar 31, 2025 | 531.42 Mn |
| Dec 31, 2024 | 518.73 Mn |
| Sep 30, 2024 | 535.99 Mn |
| Jun 30, 2024 | 537.24 Mn |
| Mar 31, 2024 | 511.73 Mn |
| Dec 31, 2023 | 504.42 Mn |
| Sep 30, 2023 | 489.89 Mn |
| Jun 30, 2023 | 479.87 Mn |
| Mar 31, 2023 | 474.27 Mn |
| Dec 31, 2022 | 488.09 Mn |
| Dec 31, 2021 | 426.61 Mn |
API Access
First Seacoast Bancorp Total Liabilities 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=total-liabilities&ticker=FSEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();