First Seacoast Bancorp, Inc. (FSEA) Capital Expenditures (2022 - 2026)
First Seacoast Bancorp (FSEA) reported Capital Expenditures of $346,000 for Q1 2026, compared with $31,000 a year earlier and up 432.3% from the prior quarter.
First Seacoast Bancorp, Inc. (FSEA) Capital Expenditures (2022 - 2026) Analysis & Trends
For FY2025, First Seacoast Bancorp posted Capital Expenditures of $120,000, down 67.4% from FY2024.
- Capital Expenditures has a four-year compound annual growth rate of 35.1% (FY2021 to FY2025).
- By year, Capital Expenditures came in at $368,000 in FY2024 (+5.4%), $349,000 in FY2023 (+238.8%), $103,000 in FY2022 (+186.1%) and $36,000 in FY2021.
- The Q1 2026 figure ranks as the highest quarterly Capital Expenditures in data going back to Q1 2022.
- Year over year, Capital Expenditures gained in two of the last seven quarters, with growth averaging 66.9%.
- The high point for year-over-year Capital Expenditures in five years was Q4 2024 (growth of 530.8%); the low point was Q2 2025 (a decline of 98.2%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $65,000 (Q4 2025), $21,000 (Q3 2025) and $3,000 (Q2 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 346,000.00 |
| Dec 31, 2025 | 65,000.00 |
| Sep 30, 2025 | 21,000.00 |
| Jun 30, 2025 | 3,000.00 |
| Mar 31, 2025 | 31,000.00 |
| Dec 31, 2024 | 164,000.00 |
| Sep 30, 2024 | 25,000.00 |
| Jun 30, 2024 | 168,000.00 |
| Mar 31, 2024 | 11,000.00 |
| Dec 31, 2023 | 26,000.00 |
| Sep 30, 2023 | 74,000.00 |
| Jun 30, 2023 | 174,000.00 |
| Mar 31, 2023 | 75,000.00 |
| Sep 30, 2022 | 14,000.00 |
| Jun 30, 2022 | 38,000.00 |
| Mar 31, 2022 | 51,000.00 |
First Seacoast Bancorp, Inc. Capital Expenditures 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=capital-expenditures&ticker=FSEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FSEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();