SouthState Bank (SSB) Provision for Credit Losses (2010 - 2026)
SouthState Bank (SSB) reported Provision for Credit Losses of $20.35 million for Q3 2026, up 300.1% from $5.09 million a year earlier and up 27.8% from the prior quarter.
SouthState Bank (SSB) Provision for Credit Losses (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, SouthState Bank's Provision for Credit Losses came in at $52.99 million, down 54.2% year-over-year; for FY2025, it was $119.76 million, up 344.4% from FY2024.
- Provision for Credit Losses has a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- By year, Provision for Credit Losses came in at $26.95 million in FY2024 (-78.4%), $125 million in FY2023 (+52.7%), $81.86 million in FY2022 and -$165.27 million in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Provision for Credit Losses since Q1 2025.
- Year over year, Provision for Credit Losses gained in five of the last seven quarters, with growth averaging 128.9%.
- The high point for year-over-year Provision for Credit Losses in five years was Q1 2025 (growth of 538.1%); the low point was Q1 2026 (a decline of 88.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $15.92 million (Q2 2026), $11.2 million (Q1 2026) and $5.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 103.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | SouthState Bank | 10.10 Bn | 10.10 Bn | - | 20.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.35 Mn |
| Jun 30, 2026 | 15.92 Mn |
| Mar 31, 2026 | 11.20 Mn |
| Dec 31, 2025 | 5.52 Mn |
| Sep 30, 2025 | 5.09 Mn |
| Jun 30, 2025 | 7.51 Mn |
| Mar 31, 2025 | 100.56 Mn |
| Dec 31, 2024 | 2.56 Mn |
| Sep 30, 2024 | -6.97 Mn |
| Jun 30, 2024 | 6.87 Mn |
| Mar 31, 2024 | 15.76 Mn |
| Dec 31, 2023 | 15.94 Mn |
| Sep 30, 2023 | 33.76 Mn |
| Jun 30, 2023 | 60.06 Mn |
| Mar 31, 2023 | 33.09 Mn |
| Dec 31, 2022 | 32.92 Mn |
| Sep 30, 2022 | 23.88 Mn |
| Jun 30, 2022 | 19.29 Mn |
| Mar 31, 2022 | -22.00 Mn |
| Dec 31, 2021 | -11.38 Mn |
SouthState Bank 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=SSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "SSB", "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=SSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();