Bank7 (BSVN) Wages, Salaries and Other (2017 - 2026)
Bank7 (BSVN) posted Wages, Salaries and Other of $6.2 million for Q2 2026, up 8.3% from $5.72 million a year earlier but down 2.1% from the prior quarter.
Bank7 (BSVN) Wages, Salaries and Other (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at Bank7 was $24.16 million, up 13.0% year-over-year; for FY2025, it came in at $22.63 million, up 8.9% from FY2024.
- Annual Wages, Salaries and Other has increased for five consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, Bank7's Wages, Salaries and Other was $20.78 million in FY2024 (+19.5%), $17.39 million in FY2023 (+2.0%), $17.04 million in FY2022 (+42.2%) and $11.98 million in FY2021 (+18.3%).
- Quarterly Wages, Salaries and Other has run from a low of $2.95 million in Q3 2021 to a high of $6.33 million in Q1 2026 over five years.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last five quarters, with growth averaging 17.0% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q4 2024, with growth of 63.4%; the weakest was Q4 2023, with a decline of 36.9%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $6.33 million (Q1 2026), $5.81 million (Q4 2025) and $5.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | Bank7 | 528.13 Mn | 528.13 Mn | - | 6.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.20 Mn |
| Mar 31, 2026 | 6.33 Mn |
| Dec 31, 2025 | 5.81 Mn |
| Sep 30, 2025 | 5.83 Mn |
| Jun 30, 2025 | 5.72 Mn |
| Mar 31, 2025 | 5.28 Mn |
| Dec 31, 2024 | 5.04 Mn |
| Sep 30, 2024 | 5.33 Mn |
| Jun 30, 2024 | 5.12 Mn |
| Mar 31, 2024 | 5.29 Mn |
| Dec 31, 2023 | 3.09 Mn |
| Sep 30, 2023 | 4.91 Mn |
| Jun 30, 2023 | 4.71 Mn |
| Mar 31, 2023 | 4.68 Mn |
| Dec 31, 2022 | 4.89 Mn |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | 4.13 Mn |
| Mar 31, 2022 | 4.03 Mn |
| Dec 31, 2021 | 3.30 Mn |
| Sep 30, 2021 | 2.95 Mn |
Bank7 Wages, Salaries and Other 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=wages-salaries-and-other&ticker=BSVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=BSVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();