Bank7 (BSVN) Operating Expenses (2017 - 2026)
Bank7 (BSVN) posted Operating Expenses of $11.89 million for Q2 2026, up 22.2% from $9.73 million a year earlier and up 15.0% from the prior quarter.
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Analysis
Bank7 (BSVN) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Bank7 was $42.53 million, up 13.6% year-over-year; for FY2025, it was $38.91 million, up 4.9% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Bank7's Operating Expenses was $37.1 million in FY2024 (+11.0%), $33.42 million in FY2023 (+16.7%), $28.64 million in FY2022 (+40.4%) and $20.4 million in FY2021 (+15.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2019.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 8.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 49.3%; the weakest was Q4 2024, with a decline of 14.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $10.34 million (Q1 2026), $9.95 million (Q4 2025) and $10.35 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 | Bank7 | 526.23 Mn | 526.23 Mn | - | 11.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.89 Mn |
| Mar 31, 2026 | 10.34 Mn |
| Dec 31, 2025 | 9.95 Mn |
| Sep 30, 2025 | 10.35 Mn |
| Jun 30, 2025 | 9.73 Mn |
| Mar 31, 2025 | 8.88 Mn |
| Dec 31, 2024 | 9.42 Mn |
| Sep 30, 2024 | 9.40 Mn |
| Jun 30, 2024 | 9.14 Mn |
| Mar 31, 2024 | 9.14 Mn |
| Dec 31, 2023 | 11.01 Mn |
| Sep 30, 2023 | 7.39 Mn |
| Jun 30, 2023 | 7.38 Mn |
| Mar 31, 2023 | 7.65 Mn |
| Dec 31, 2022 | 8.13 Mn |
| Sep 30, 2022 | 7.13 Mn |
| Jun 30, 2022 | 6.96 Mn |
| Mar 31, 2022 | 6.42 Mn |
| Dec 31, 2021 | 6.20 Mn |
| Sep 30, 2021 | 4.78 Mn |
API Access
Bank7 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=BSVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BSVN", "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=BSVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();