Sb Financial (SBFG) Operating Expenses (2010 - 2026)
Sb Financial (SBFG) recorded Operating Expenses of $12.14 million in Q2 2026, up 2.4% from $11.85 million a year earlier and up 1.7% from the prior quarter.
Sb Financial (SBFG) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Sb Financial's Operating Expenses came in at $46.8 million as of Jun 30, 2026, up 1.2% year-over-year; for FY2025, it came in at $47 million, up 9.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $42.96 million in FY2024 (+2.4%), $41.96 million in FY2023 (-0.8%), $42.31 million in FY2022 (-5.6%) and $44.81 million in FY2021 (+4.0%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 6.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 20.7% in Q1 2025, against a decline of 11.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.93 million (Q1 2026), $11.24 million (Q4 2025) and $11.5 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 | Sb Financial | 187.53 Mn | 187.53 Mn | - | 12.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.14 Mn |
| Mar 31, 2026 | 11.93 Mn |
| Dec 31, 2025 | 11.24 Mn |
| Sep 30, 2025 | 11.50 Mn |
| Jun 30, 2025 | 11.85 Mn |
| Mar 31, 2025 | 12.41 Mn |
| Dec 31, 2024 | 11.00 Mn |
| Sep 30, 2024 | 11.00 Mn |
| Jun 30, 2024 | 10.67 Mn |
| Mar 31, 2024 | 10.28 Mn |
| Dec 31, 2023 | 10.37 Mn |
| Sep 30, 2023 | 10.48 Mn |
| Jun 30, 2023 | 10.34 Mn |
| Mar 31, 2023 | 10.77 Mn |
| Dec 31, 2022 | 10.27 Mn |
| Sep 30, 2022 | 10.39 Mn |
| Jun 30, 2022 | 10.80 Mn |
| Mar 31, 2022 | 10.86 Mn |
| Dec 31, 2021 | 11.57 Mn |
| Sep 30, 2021 | 11.26 Mn |
Sb Financial 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=SBFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SBFG", "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=SBFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();