SouthState Bank (SSB) EBITDA (2010 - 2026)
SouthState Bank (SSB) recorded EBITDA of $598.42 million in Q2 2026, up 2.4% from $584.49 million a year earlier and up 2.3% from the prior quarter.
SouthState Bank (SSB) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, SouthState Bank's EBITDA came in at $2.45 billion as of Jun 30, 2026, up 37.5% year-over-year; for FY2025, it came in at $2.27 billion, up 53.4% from FY2024.
- Annual EBITDA has increased for five straight years, with a five-year compound annual growth rate of 54.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $1.48 billion in FY2024 (+25.5%), $1.18 billion in FY2023 (+50.2%), $786.61 million in FY2022 (+3.9%) and $757.07 million in FY2021 (+195.6%).
- Quarterly EBITDA has ranged from $160.31 million in Q1 2022 to $644.49 million in Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for 17 consecutive quarters, with growth averaging 36.9% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 67.5% in Q1 2023, against a decline of 30.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $585.22 million (Q1 2026), $624.49 million (Q4 2025) and $644.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | SouthState Bank | 9.86 Bn | 9.86 Bn | - | 598.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 598.42 Mn |
| Mar 31, 2026 | 585.22 Mn |
| Dec 31, 2025 | 624.49 Mn |
| Sep 30, 2025 | 644.49 Mn |
| Jun 30, 2025 | 584.49 Mn |
| Mar 31, 2025 | 420.53 Mn |
| Dec 31, 2024 | 381.52 Mn |
| Sep 30, 2024 | 397.78 Mn |
| Jun 30, 2024 | 367.47 Mn |
| Mar 31, 2024 | 340.92 Mn |
| Dec 31, 2023 | 312.25 Mn |
| Sep 30, 2023 | 321.93 Mn |
| Jun 30, 2023 | 293.94 Mn |
| Mar 31, 2023 | 268.54 Mn |
| Dec 31, 2022 | 232.24 Mn |
| Sep 30, 2022 | 207.53 Mn |
| Jun 30, 2022 | 186.53 Mn |
| Mar 31, 2022 | 160.31 Mn |
| Dec 31, 2021 | 169.46 Mn |
| Sep 30, 2021 | 190.12 Mn |
SouthState Bank EBITDA 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=ebitda&ticker=SSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();