Southside Bancshares (SBSI) Operating Expenses (2010 - 2026)
Southside Bancshares (SBSI) reported Operating Expenses of $38.68 million for Q2 2026, down 1.5% from $39.26 million a year earlier and down 4.7% from the prior quarter.
Southside Bancshares (SBSI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Southside Bancshares' Operating Expenses came in at $154.26 million, up 2.3% year-over-year; for FY2025, it was $151.36 million, up 2.9% from FY2024.
- Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $147.14 million in FY2024 (+4.7%), $140.58 million in FY2023 (+7.9%), $130.33 million in FY2022 (+4.2%) and $125.03 million in FY2021 (+1.4%).
- Five-year quarterly Operating Expenses spans a low of $31.2 million in Q1 2022 and a high of $40.58 million in Q1 2026.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 3.8%.
- The high point for year-over-year Operating Expenses in five years was Q1 2023 (growth of 11.7%); the low point was Q4 2025 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $40.58 million (Q1 2026), $37.48 million (Q4 2025) and $37.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Southside Bancshares | 896.03 Mn | -745.40 Mn | - | 38.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.68 Mn |
| Mar 31, 2026 | 40.58 Mn |
| Dec 31, 2025 | 37.48 Mn |
| Sep 30, 2025 | 37.53 Mn |
| Jun 30, 2025 | 39.26 Mn |
| Mar 31, 2025 | 37.09 Mn |
| Dec 31, 2024 | 38.16 Mn |
| Sep 30, 2024 | 36.33 Mn |
| Jun 30, 2024 | 35.77 Mn |
| Mar 31, 2024 | 36.88 Mn |
| Dec 31, 2023 | 35.18 Mn |
| Sep 30, 2023 | 35.55 Mn |
| Jun 30, 2023 | 34.99 Mn |
| Mar 31, 2023 | 34.85 Mn |
| Dec 31, 2022 | 33.56 Mn |
| Sep 30, 2022 | 33.46 Mn |
| Jun 30, 2022 | 32.11 Mn |
| Mar 31, 2022 | 31.20 Mn |
| Dec 31, 2021 | 31.33 Mn |
| Sep 30, 2021 | 31.76 Mn |
Southside Bancshares 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=SBSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SBSI", "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=SBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();