First Seacoast Bancorp (FSEA) Tax Provisions (2022 - 2026)
First Seacoast Bancorp's Tax Provisions was -$227,000 in Q2 2026, compared with $12,000 a year earlier.
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Analysis
First Seacoast Bancorp (FSEA) Tax Provisions (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Seacoast Bancorp's Tax Provisions was -$538,000 through Jun 30, 2026; for FY2022, it came in at -$451,000.
- In earlier years, Tax Provisions was $601,000 in FY2021.
- Quarterly Tax Provisions has moved between -$640,000 (Q3 2024) and $362,000 (Q1 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | First Seacoast Bancorp | 80.89 Mn | 80.89 Mn | - | -227,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -227,000.00 |
| Mar 31, 2026 | 273,000.00 |
| Sep 30, 2025 | -596,000.00 |
| Jun 30, 2025 | 12,000.00 |
| Mar 31, 2025 | -29,000.00 |
| Sep 30, 2024 | -640,000.00 |
| Jun 30, 2024 | 102,000.00 |
| Mar 31, 2024 | 362,000.00 |
| Sep 30, 2023 | -427,000.00 |
| Jun 30, 2023 | -280,000.00 |
| Mar 31, 2023 | 40,000.00 |
| Dec 31, 2022 | -614,000.00 |
| Sep 30, 2022 | 39,000.00 |
| Jun 30, 2022 | 66,000.00 |
| Mar 31, 2022 | 58,000.00 |
API Access
First Seacoast Bancorp Tax Provisions 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=tax-provisions&ticker=FSEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();