Seacoast Banking Corp Of Florida (SBCF) Acquisitions (2014 - 2025)
Seacoast Banking Corp Of Florida (SBCF) recorded Acquisitions of -$16.44 million in Q4 2025.
Analysis
Seacoast Banking Corp Of Florida (SBCF) Acquisitions (2014 - 2025) Analysis & Trends
For FY2025, Seacoast Banking Corp Of Florida reported Acquisitions of $169.56 million.
- Annual Acquisitions has a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Across earlier years, Acquisitions came in at $141.67 million in FY2023 (-49.7%), $281.75 million in FY2022 (+187.2%) and $98.1 million in FY2021 (+36.3%).
- The Q4 2025 figure is the highest quarterly Acquisitions since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Seacoast Banking Corp Of Florida | 3.27 Bn | 1.34 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -16.44 Mn |
| Mar 31, 2023 | 141.67 Mn |
| Dec 31, 2022 | 72.81 Mn |
| Mar 31, 2022 | 208.93 Mn |
| Dec 31, 2018 | 22.35 Mn |
| Dec 31, 2017 | -6.40 Mn |
| Sep 30, 2017 | -8,000.00 |
| Jun 30, 2017 | 30.23 Mn |
| Sep 30, 2016 | -24.93 Mn |
| Jun 30, 2016 | 258.93 Mn |
| Mar 31, 2016 | 1.54 Mn |
| Sep 30, 2015 | 32.93 Mn |
| Dec 31, 2014 | 111.00 Mn |
API Access
Seacoast Banking Corp Of Florida Acquisitions 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=acquisitions&ticker=SBCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "SBCF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();