Union Bankshares (UNB) Other Operating Expenses (2010 - 2026)
Union Bankshares (UNB) posted Other Operating Expenses of $2.97 million for Q2 2026, up 6.6% from $2.78 million a year earlier and up 3.7% from the prior quarter.
Union Bankshares (UNB) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Union Bankshares was $11.47 million, up 10.5% year-over-year; for FY2025, it was $11.05 million, up 5.8% from FY2024.
- Annual Other Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In prior years, Union Bankshares' Other Operating Expenses was $10.45 million in FY2024 (+4.5%), $10 million in FY2023 (+12.2%), $8.91 million in FY2022 (+5.1%) and $8.48 million in FY2021 (+12.7%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last four quarters, with growth averaging 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2025, with growth of 21.5%; the weakest was Q3 2024, with a decline of 9.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.86 million (Q1 2026), $2.77 million (Q4 2025) and $2.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Union Bankshares | 113.75 Mn | 5.17 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.97 Mn |
| Mar 31, 2026 | 2.86 Mn |
| Dec 31, 2025 | 2.77 Mn |
| Sep 30, 2025 | 2.87 Mn |
| Jun 30, 2025 | 2.78 Mn |
| Mar 31, 2025 | 2.63 Mn |
| Dec 31, 2024 | 2.60 Mn |
| Sep 30, 2024 | 2.36 Mn |
| Jun 30, 2024 | 2.82 Mn |
| Mar 31, 2024 | 2.67 Mn |
| Dec 31, 2023 | 2.45 Mn |
| Sep 30, 2023 | 2.60 Mn |
| Jun 30, 2023 | 2.56 Mn |
| Mar 31, 2023 | 2.40 Mn |
| Dec 31, 2022 | 2.27 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 2.20 Mn |
| Mar 31, 2022 | 2.13 Mn |
| Dec 31, 2021 | 2.18 Mn |
| Sep 30, 2021 | 2.14 Mn |
Union Bankshares Other 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=other-operating-expenses&ticker=UNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "UNB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=UNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();