First Seacoast Bancorp (FSEA) Change in Accured Expenses (2022 - 2026)
First Seacoast Bancorp's Change in Accured Expenses was $196,000 in Q2 2026, up 6.5% from $184,000 a year earlier.
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Analysis
First Seacoast Bancorp (FSEA) Change in Accured Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Seacoast Bancorp's Change in Accured Expenses was $271,000 through Jun 30, 2026, down 6.2% year-over-year; for FY2025, it was $275,000, down 14.3% from FY2024.
- Change in Accured Expenses shows a four-year compound annual growth rate of 45.1% (FY2021 to FY2025).
- In earlier years, Change in Accured Expenses was $321,000 in FY2024 (+33.2%), $241,000 in FY2023 (+138.6%), $101,000 in FY2022 (+62.9%) and $62,000 in FY2021.
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q1 2022.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last six quarters, with growth averaging 55.2%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2024 (growth of 360.0%); the worst was Q3 2023 (a decline of 83.7%).
- Per Business Quant data, FSEA's Change in Accured Expenses in the three quarters before Q2 2026 was -$30,000 (Q1 2026), $38,000 (Q4 2025) and $67,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | First Seacoast Bancorp | 80.89 Mn | 80.89 Mn | - | 196,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 196,000.00 |
| Mar 31, 2026 | -30,000.00 |
| Dec 31, 2025 | 38,000.00 |
| Sep 30, 2025 | 67,000.00 |
| Jun 30, 2025 | 184,000.00 |
| Mar 31, 2025 | -14,000.00 |
| Dec 31, 2024 | 27,000.00 |
| Sep 30, 2024 | 92,000.00 |
| Jun 30, 2024 | 156,000.00 |
| Mar 31, 2024 | 46,000.00 |
| Dec 31, 2023 | 81,000.00 |
| Sep 30, 2023 | 20,000.00 |
| Jun 30, 2023 | 144,000.00 |
| Mar 31, 2023 | -4,000.00 |
| Dec 31, 2022 | 57,000.00 |
| Sep 30, 2022 | 123,000.00 |
| Mar 31, 2022 | -79,000.00 |
API Access
First Seacoast Bancorp Change in Accured 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=change-in-accured-expenses&ticker=FSEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();