Seacoast Banking Corp Of Florida (SBCF) Provision for Credit Losses (2009 - 2026)
Seacoast Banking Corp Of Florida's Provision for Credit Losses came in at $9 million for Q2 2026, up 105.5% from $4.38 million a year earlier.
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Analysis
Seacoast Banking Corp Of Florida (SBCF) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Seacoast Banking Corp Of Florida reported Provision for Credit Losses of $47.39 million, up 100.8% year-over-year; for FY2025, it was $51.26 million, up 215.3% from FY2024.
- Provision for Credit Losses carries a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was $16.26 million in FY2024 (-56.7%), $37.52 million in FY2023 (+43.3%), $26.18 million in FY2022 and -$9.42 million in FY2021.
- The five-year range for quarterly Provision for Credit Losses is -$3.94 million (Q4 2021) to $31.6 million (Q1 2023).
- Year-over-year, Provision for Credit Losses increased in five of the last eight quarters, with growth averaging 178.6%.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q4 2025 (growth of 691.0%), and the weakest in Q1 2024 (a decline of 95.7%).
- Business Quant data shows SBCF's Provision for Credit Losses at $761,000 (Q1 2026), $29.26 million (Q4 2025) and $8.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 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 | - | 6.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.30 Mn |
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 761,000.00 |
| Dec 31, 2025 | 29.26 Mn |
| Sep 30, 2025 | 8.37 Mn |
| Jun 30, 2025 | 4.38 Mn |
| Mar 31, 2025 | 9.25 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 6.27 Mn |
| Jun 30, 2024 | 4.92 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 3.99 Mn |
| Sep 30, 2023 | 2.69 Mn |
| Jun 30, 2023 | -764,000.00 |
| Mar 31, 2023 | 31.60 Mn |
| Dec 31, 2022 | 14.13 Mn |
| Sep 30, 2022 | 4.68 Mn |
| Jun 30, 2022 | 822,000.00 |
| Mar 31, 2022 | 6.56 Mn |
| Dec 31, 2021 | -3.94 Mn |
API Access
Seacoast Banking Corp Of Florida Provision for Credit Losses 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=provision-for-credit-losses&ticker=SBCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();