SouthState Bank (SSB) Total Liabilities (2010 - 2026)
SouthState Bank (SSB) posted Total Liabilities of $61.39 billion for Q3 2026, up 7.6% from $57.04 billion a year earlier and up 2.7% from the prior quarter.
SouthState Bank (SSB) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, SouthState Bank's Total Liabilities came in at $58.14 billion, up 43.6% from FY2024.
- Annual Total Liabilities has increased for 11 consecutive years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, SouthState Bank's Total Liabilities was $40.49 billion in FY2024 (+2.8%), $39.37 billion in FY2023 (+1.4%), $38.84 billion in FY2022 (+4.9%) and $37.04 billion in FY2021 (+11.7%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2010.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 23.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 43.6%; the weakest was Q2 2023, with a decline of 3.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $59.78 billion (Q2 2026), $58.95 billion (Q1 2026) and $58.14 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 4,719.18 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 3,130.96 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 3,248.55 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 1,679.93 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 1,573.71 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 2,055.50 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 2,075.41 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 2,571.74 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 274.48 Bn |
| 10 | SouthState Bank | 10.10 Bn | 10.10 Bn | - | 61.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.39 Bn |
| Jun 30, 2026 | 59.78 Bn |
| Mar 31, 2026 | 58.95 Bn |
| Dec 31, 2025 | 58.14 Bn |
| Sep 30, 2025 | 57.04 Bn |
| Jun 30, 2025 | 57.09 Bn |
| Mar 31, 2025 | 56.51 Bn |
| Dec 31, 2024 | 40.49 Bn |
| Sep 30, 2024 | 40.18 Bn |
| Jun 30, 2024 | 39.84 Bn |
| Mar 31, 2024 | 39.60 Bn |
| Dec 31, 2023 | 39.37 Bn |
| Sep 30, 2023 | 39.76 Bn |
| Jun 30, 2023 | 39.65 Bn |
| Mar 31, 2023 | 39.67 Bn |
| Dec 31, 2022 | 38.84 Bn |
| Sep 30, 2022 | 40.26 Bn |
| Jun 30, 2022 | 41.17 Bn |
| Mar 31, 2022 | 41.03 Bn |
| Dec 31, 2021 | 37.04 Bn |
SouthState Bank Total Liabilities 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=total-liabilities&ticker=SSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();