SouthState Bank (SSB) Provision for Losses (2010 - 2026)
SouthState Bank (SSB) posted Provision for Losses of $15.92 million for Q2 2026, up 112.1% from $7.51 million a year earlier and up 47.3% from the prior quarter.
SouthState Bank (SSB) Provision for Losses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at SouthState Bank was $38.42 million, down 64.3% year-over-year; for FY2025, it came in at $119.76 million, up 649.7% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- In prior years, SouthState Bank's Provision for Losses was $15.98 million in FY2024 (-86.0%), $114.08 million in FY2023 (+39.4%), $81.86 million in FY2022 and -$165.27 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Provision for Losses since Q1 2025.
- On a year-over-year basis, Provision for Losses increased in four of the last six quarters, with growth averaging 129.4%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q1 2025, with growth of 692.7%; the weakest was Q2 2024, with a decline of 89.9%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $10.81 million (Q1 2026), $6.61 million (Q4 2025) and $5.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.30 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 | - | - |
| 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 | 10.81 Mn |
| Dec 31, 2025 | 6.61 Mn |
| Sep 30, 2025 | 5.09 Mn |
| Jun 30, 2025 | 7.51 Mn |
| Mar 31, 2025 | 100.56 Mn |
| Dec 31, 2024 | 6.37 Mn |
| Sep 30, 2024 | -6.97 Mn |
| Jun 30, 2024 | 3.89 Mn |
| Mar 31, 2024 | 12.69 Mn |
| Dec 31, 2023 | 9.89 Mn |
| Sep 30, 2023 | 32.71 Mn |
| Jun 30, 2023 | 38.39 Mn |
| Mar 31, 2023 | 33.09 Mn |
| Dec 31, 2022 | 47.14 Mn |
| Sep 30, 2022 | 23.88 Mn |
| Jun 30, 2022 | 19.29 Mn |
| Mar 31, 2022 | -8.45 Mn |
| Dec 31, 2021 | -9.16 Mn |
SouthState Bank Provision for 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-losses&ticker=SSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=SSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();