Seacoast Banking Corp Of Florida (SBCF) Cash & Equivalents (2009 - 2026)
Seacoast Banking Corp Of Florida (SBCF) reported Cash & Equivalents of $303.25 million for Q3 2026, down 0.9% from $305.99 million a year earlier and down 29.5% from the prior quarter.
Seacoast Banking Corp Of Florida (SBCF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Seacoast Banking Corp Of Florida posted Cash & Equivalents of $388.55 million, down 18.5% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $476.61 million in FY2024 (+6.6%), $447.18 million in FY2023 (+121.4%), $201.94 million in FY2022 (-72.6%) and $737.73 million in FY2021 (+82.6%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2022.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with an average decline of 7.0%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2023 (growth of 218.4%); the low point was Q3 2022 (a decline of 82.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $429.94 million (Q2 2026), $808.38 million (Q1 2026) and $388.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Seacoast Banking Corp Of Florida | 3.30 Bn | 1.35 Bn | - | 303.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 303.25 Mn |
| Jun 30, 2026 | 429.94 Mn |
| Mar 31, 2026 | 808.38 Mn |
| Dec 31, 2025 | 388.55 Mn |
| Sep 30, 2025 | 305.99 Mn |
| Jun 30, 2025 | 332.43 Mn |
| Mar 31, 2025 | 500.57 Mn |
| Dec 31, 2024 | 476.61 Mn |
| Sep 30, 2024 | 637.06 Mn |
| Jun 30, 2024 | 749.53 Mn |
| Mar 31, 2024 | 682.72 Mn |
| Dec 31, 2023 | 447.18 Mn |
| Sep 30, 2023 | 695.98 Mn |
| Jun 30, 2023 | 727.88 Mn |
| Mar 31, 2023 | 791.24 Mn |
| Dec 31, 2022 | 201.94 Mn |
| Sep 30, 2022 | 218.62 Mn |
| Jun 30, 2022 | 901.37 Mn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 737.73 Mn |
Seacoast Banking Corp Of Florida Cash & Equivalents 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=cash-and-equivalents&ticker=SBCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();