Smartfinancial (SMBK) Operating Expenses (2010 - 2026)
Smartfinancial (SMBK) recorded Operating Expenses of $33.96 million in Q2 2026, up 4.3% from $32.57 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Smartfinancial (SMBK) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Smartfinancial's Operating Expenses came in at $133.21 million as of Jun 30, 2026, up 4.1% year-over-year; for FY2025, it came in at $131.21 million, up 8.5% from FY2024.
- Annual Operating Expenses has increased for 13 straight years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $120.89 million in FY2024 (+6.8%), $113.15 million in FY2023 (+6.5%), $106.29 million in FY2022 (+16.3%) and $91.39 million in FY2021 (+19.1%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased for 14 consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 39.4% in Q4 2021, against a decline of 1.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.92 million (Q1 2026), $32.47 million (Q4 2025) and $33.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Smartfinancial | 847.40 Mn | -899.49 Mn | - | 33.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.96 Mn |
| Mar 31, 2026 | 32.92 Mn |
| Dec 31, 2025 | 32.47 Mn |
| Sep 30, 2025 | 33.87 Mn |
| Jun 30, 2025 | 32.57 Mn |
| Mar 31, 2025 | 32.30 Mn |
| Dec 31, 2024 | 32.29 Mn |
| Sep 30, 2024 | 30.85 Mn |
| Jun 30, 2024 | 29.20 Mn |
| Mar 31, 2024 | 28.55 Mn |
| Dec 31, 2023 | 29.70 Mn |
| Sep 30, 2023 | 28.52 Mn |
| Jun 30, 2023 | 27.41 Mn |
| Mar 31, 2023 | 27.53 Mn |
| Dec 31, 2022 | 27.42 Mn |
| Sep 30, 2022 | 27.23 Mn |
| Jun 30, 2022 | 25.93 Mn |
| Mar 31, 2022 | 25.72 Mn |
| Dec 31, 2021 | 27.82 Mn |
| Sep 30, 2021 | 23.31 Mn |
API Access
Smartfinancial 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=SMBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SMBK", "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=SMBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();