SouthState Bank (SSB) Operating Expenses (2010 - 2026)
SouthState Bank (SSB) reported Operating Expenses of $357.75 million for Q2 2026, down 4.6% from $375.06 million a year earlier and down 0.5% from the prior quarter.
SouthState Bank (SSB) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, SouthState Bank's Operating Expenses came in at $1.45 billion, up 13.0% year-over-year; for FY2025, it was $1.52 billion, up 51.9% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1 billion in FY2024 (+0.7%), $994.58 million in FY2023 (+7.0%), $929.7 million in FY2022 (-2.0%) and $948.42 million in FY2021 (+18.9%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 23.6%.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 64.0%); the low point was Q4 2021 (a decline of 19.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $359.52 million (Q1 2026), $364.86 million (Q4 2025) and $372.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | SouthState Bank | 9.86 Bn | 9.86 Bn | - | 357.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 357.75 Mn |
| Mar 31, 2026 | 359.52 Mn |
| Dec 31, 2025 | 364.86 Mn |
| Sep 30, 2025 | 372.34 Mn |
| Jun 30, 2025 | 375.06 Mn |
| Mar 31, 2025 | 408.83 Mn |
| Dec 31, 2024 | 256.61 Mn |
| Sep 30, 2024 | 246.85 Mn |
| Jun 30, 2024 | 248.75 Mn |
| Mar 31, 2024 | 249.29 Mn |
| Dec 31, 2023 | 273.24 Mn |
| Sep 30, 2023 | 238.21 Mn |
| Jun 30, 2023 | 242.63 Mn |
| Mar 31, 2023 | 240.51 Mn |
| Dec 31, 2022 | 229.50 Mn |
| Sep 30, 2022 | 240.43 Mn |
| Jun 30, 2022 | 231.17 Mn |
| Mar 31, 2022 | 228.60 Mn |
| Dec 31, 2021 | 224.04 Mn |
| Sep 30, 2021 | 232.29 Mn |
SouthState Bank Operating Expenses 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=operating-expenses&ticker=SSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();