Seacoast Banking Corp Of Florida (SBCF) Net Change in Fed Funds Purchased and Repos (2009 - 2026)
Seacoast Banking Corp Of Florida (SBCF) reported Net Change in Fed Funds Purchased and Repos of -$4.37 million for Q2 2026, compared with -$15.04 million a year earlier.
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Analysis
Seacoast Banking Corp Of Florida (SBCF) Net Change in Fed Funds Purchased and Repos (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Seacoast Banking Corp Of Florida's Net Change in Fed Funds Purchased and Repos came in at $81.94 million; for FY2025, it came in at $51.87 million.
- Net Change in Fed Funds Purchased and Repos has a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- By year, Net Change in Fed Funds Purchased and Repos came in at -$142.5 million in FY2024, $202.54 million in FY2023 (+301.4%), $50.46 million in FY2022 and $1.96 million in FY2021 (-94.2%).
- Five-year quarterly Net Change in Fed Funds Purchased and Repos spans a low of -$64.63 million in Q2 2024 and a high of $98.12 million in Q4 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$11.54 million (Q1 2026), $47.69 million (Q4 2025) and $50.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Repos Chg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | -1.47 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | -16.80 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | -10.33 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | -31.29 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 | - | -56.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -56.33 Mn |
| Jun 30, 2026 | -4.37 Mn |
| Mar 31, 2026 | -11.54 Mn |
| Dec 31, 2025 | 47.69 Mn |
| Sep 30, 2025 | 50.16 Mn |
| Jun 30, 2025 | -15.04 Mn |
| Mar 31, 2025 | -30.94 Mn |
| Dec 31, 2024 | 21.90 Mn |
| Sep 30, 2024 | -51.93 Mn |
| Jun 30, 2024 | -64.63 Mn |
| Mar 31, 2024 | -47.84 Mn |
| Dec 31, 2023 | 98.12 Mn |
| Sep 30, 2023 | -13.71 Mn |
| Jun 30, 2023 | 22.55 Mn |
| Mar 31, 2023 | 95.58 Mn |
| Dec 31, 2022 | 77.84 Mn |
| Sep 30, 2022 | -16.39 Mn |
| Jun 30, 2022 | -10.34 Mn |
| Mar 31, 2022 | -643,000.00 |
| Dec 31, 2021 | 16.02 Mn |
API Access
Seacoast Banking Corp Of Florida Net Change in Fed Funds Purchased and Repos 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=net-change-in-fed-funds-purchased-and-repos&ticker=SBCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-change-in-fed-funds-purchased-and-repos", "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=net-change-in-fed-funds-purchased-and-repos&ticker=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();