First Seacoast Bancorp (FSEA) Total Non-Current Liabilities (2021 - 2026)
First Seacoast Bancorp's Total Non-Current Liabilities was $502.45 million in Q2 2026, down 6.0% from $534.41 million a year earlier and down 2.6% from the prior quarter.
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Analysis
First Seacoast Bancorp (FSEA) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at First Seacoast Bancorp came in at $526.56 million, up 3.3% from FY2024.
- Total Non-Current Liabilities has now increased for four consecutive years, with a four-year compound annual growth rate of 5.5% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $509.52 million in FY2024 (+1.8%), $500.52 million in FY2023 (+3.3%), $484.53 million in FY2022 (+14.0%) and $424.88 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 1.4%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 14.0%); the worst was Q2 2026 (a decline of 6.0%).
- Per Business Quant data, FSEA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $515.95 million (Q1 2026), $526.56 million (Q4 2025) and $536.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | First Seacoast Bancorp | 80.89 Mn | 80.89 Mn | - | 502.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 502.45 Mn |
| Mar 31, 2026 | 515.95 Mn |
| Dec 31, 2025 | 526.56 Mn |
| Sep 30, 2025 | 536.52 Mn |
| Jun 30, 2025 | 534.41 Mn |
| Mar 31, 2025 | 521.88 Mn |
| Dec 31, 2024 | 509.52 Mn |
| Sep 30, 2024 | 531.56 Mn |
| Jun 30, 2024 | 534.21 Mn |
| Mar 31, 2024 | 508.20 Mn |
| Dec 31, 2023 | 500.52 Mn |
| Sep 30, 2023 | 486.03 Mn |
| Jun 30, 2023 | 477.37 Mn |
| Mar 31, 2023 | 471.88 Mn |
| Dec 31, 2022 | 484.53 Mn |
| Dec 31, 2021 | 424.88 Mn |
API Access
First Seacoast Bancorp Total Non-Current 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-non-current-liabilities&ticker=FSEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();