Seacoast Banking Corp Of Florida (SBCF) Maturities of HTM Securities (2016 - 2026)
Seacoast Banking Corp Of Florida (SBCF) reported Maturities of HTM Securities of $12 million for Q2 2026, up 5.7% from $11.35 million a year earlier and up 19.9% from the prior quarter.
Seacoast Banking Corp Of Florida (SBCF) Maturities of HTM Securities (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Seacoast Banking Corp Of Florida's Maturities of HTM Securities came in at $48.82 million, up 8.9% year-over-year; for FY2025, it came in at $48.74 million, up 7.7% from FY2024.
- Maturities of HTM Securities has a five-year compound annual growth rate of -8.5% (FY2020 to FY2025).
- By year, Maturities of HTM Securities came in at $45.26 million in FY2024 (-34.9%), $69.47 million in FY2023 (-28.3%), $96.93 million in FY2022 (-27.1%) and $132.92 million in FY2021 (+75.2%).
- Five-year quarterly Maturities of HTM Securities spans a low of $10 million in Q1 2026 and a high of $30.17 million in Q2 2023.
- Year over year, Maturities of HTM Securities gained in four of the last eight quarters, with growth averaging 0.3%.
- The high point for year-over-year Maturities of HTM Securities in five years was Q3 2021 (growth of 52.0%); the low point was Q2 2024 (a decline of 60.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10 million (Q1 2026), $12.28 million (Q4 2025) and $14.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of HTM Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 7.99 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 9.10 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.15 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 3.83 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 6.03 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 | - | 11.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.08 Mn |
| Jun 30, 2026 | 12.00 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 12.28 Mn |
| Sep 30, 2025 | 14.54 Mn |
| Jun 30, 2025 | 11.35 Mn |
| Mar 31, 2025 | 10.58 Mn |
| Dec 31, 2024 | 10.90 Mn |
| Sep 30, 2024 | 12.03 Mn |
| Jun 30, 2024 | 11.89 Mn |
| Mar 31, 2024 | 10.44 Mn |
| Dec 31, 2023 | 11.11 Mn |
| Sep 30, 2023 | 16.36 Mn |
| Jun 30, 2023 | 30.17 Mn |
| Mar 31, 2023 | 11.83 Mn |
| Dec 31, 2022 | 27.26 Mn |
| Sep 30, 2022 | 20.01 Mn |
| Jun 30, 2022 | 23.22 Mn |
| Mar 31, 2022 | 26.43 Mn |
| Dec 31, 2021 | 29.66 Mn |
Seacoast Banking Corp Of Florida Maturities of HTM Securities 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=maturities-of-htm-securities&ticker=SBCF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-htm-securities", "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=maturities-of-htm-securities&ticker=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();