First Seacoast Bancorp (FSEA) EBITDA (2022 - 2026)
First Seacoast Bancorp (FSEA) posted EBITDA of $2.84 million for Q2 2026, down 0.1% from $2.84 million a year earlier but up 1.4% from the prior quarter.
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Analysis
First Seacoast Bancorp (FSEA) EBITDA (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at First Seacoast Bancorp was $12.23 million, up 6.3% year-over-year; for FY2025, it came in at $12.13 million, down 12.9% from FY2024.
- Annual EBITDA shows a four-year compound annual growth rate of 24.7% (FY2021 to FY2025).
- In prior years, First Seacoast Bancorp's EBITDA was $13.93 million in FY2024 (+388.1%), $2.85 million in FY2023 (+127.8%), $1.25 million in FY2022 (-75.0%) and $5.02 million in FY2021.
- Quarterly EBITDA has run from a low of -$1.9 million in Q4 2023 to a high of $5.47 million in Q2 2024 over five years.
- On a year-over-year basis, EBITDA increased in five of the last seven quarters, with growth averaging 15.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2024, with growth of 315.6%; the weakest was Q2 2025, with a decline of 48.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $2.8 million (Q1 2026), $3.27 million (Q4 2025) and $3.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | First Seacoast Bancorp | 80.84 Mn | 80.84 Mn | - | 2.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.84 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 3.27 Mn |
| Sep 30, 2025 | 3.32 Mn |
| Jun 30, 2025 | 2.84 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Dec 31, 2024 | 2.91 Mn |
| Sep 30, 2024 | 3.05 Mn |
| Jun 30, 2024 | 5.47 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | -1.90 Mn |
| Sep 30, 2023 | 1.38 Mn |
| Jun 30, 2023 | 1.32 Mn |
| Mar 31, 2023 | 2.06 Mn |
| Dec 31, 2022 | -1.17 Mn |
| Sep 30, 2022 | 1.06 Mn |
| Jun 30, 2022 | 593,000.00 |
| Mar 31, 2022 | 765,000.00 |
API Access
First Seacoast Bancorp EBITDA 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=ebitda&ticker=FSEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();