United Bankshares (UBSI) Operating Expenses (2009 - 2026)
United Bankshares (UBSI) posted Operating Expenses of $154.72 million for Q2 2026, up 4.5% from $148.02 million a year earlier and up 1.2% from the prior quarter.
United Bankshares (UBSI) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at United Bankshares was $605.99 million, up 6.1% year-over-year; for FY2025, it was $600.05 million, up 10.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior years, United Bankshares' Operating Expenses was $545.03 million in FY2024 (-2.7%), $560.22 million in FY2023 (+0.9%), $555.09 million in FY2022 (-4.6%) and $581.98 million in FY2021 (+0.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2020.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 4.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 13.1%; the weakest was Q3 2021, with a decline of 17.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $152.81 million (Q1 2026), $151.72 million (Q4 2025) and $146.74 million (Q3 2025).
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 | United Bankshares | 6.29 Bn | 6.17 Bn | - | 154.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.72 Mn |
| Mar 31, 2026 | 152.81 Mn |
| Dec 31, 2025 | 151.72 Mn |
| Sep 30, 2025 | 146.74 Mn |
| Jun 30, 2025 | 148.02 Mn |
| Mar 31, 2025 | 153.57 Mn |
| Dec 31, 2024 | 134.18 Mn |
| Sep 30, 2024 | 135.34 Mn |
| Jun 30, 2024 | 134.77 Mn |
| Mar 31, 2024 | 140.74 Mn |
| Dec 31, 2023 | 152.29 Mn |
| Sep 30, 2023 | 135.23 Mn |
| Jun 30, 2023 | 135.29 Mn |
| Mar 31, 2023 | 137.42 Mn |
| Dec 31, 2022 | 137.54 Mn |
| Sep 30, 2022 | 137.20 Mn |
| Jun 30, 2022 | 141.17 Mn |
| Mar 31, 2022 | 139.18 Mn |
| Dec 31, 2021 | 151.79 Mn |
| Sep 30, 2021 | 142.28 Mn |
United Bankshares 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=UBSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UBSI", "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=UBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();