United Bankshares (UBSI) Equipment Expense (2009 - 2026)
United Bankshares (UBSI) recorded Equipment Expense of $9.44 million in Q2 2026, up 10.3% from $8.55 million a year earlier and up 8.0% from the prior quarter.
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Analysis
United Bankshares (UBSI) Equipment Expense (2009 - 2026) Analysis & Trends
On a TTM basis, United Bankshares' Equipment Expense came in at $35.96 million as of Jun 30, 2026, up 10.9% year-over-year; for FY2025, it came in at $34.92 million, up 17.6% from FY2024.
- Annual Equipment Expense has a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Across earlier years, Equipment Expense came in at $29.69 million in FY2024 (-0.2%), $29.73 million in FY2023 (+1.4%), $29.32 million in FY2022 (+12.9%) and $25.98 million in FY2021 (+24.5%).
- The Q2 2026 figure is the highest quarterly Equipment Expense in data going back to Q1 2010.
- On a year-over-year basis, Equipment Expense has increased for six consecutive quarters, with growth averaging 11.5% over the last eight quarters.
- Peak year-over-year performance for Equipment Expense in the last five years was growth of 29.7% in Q3 2021, against a decline of 8.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.74 million (Q1 2026), $9.24 million (Q4 2025) and $8.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equipment Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 540.77 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | United Bankshares | 6.54 Bn | -2.38 Bn | - | 9.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.60 Mn |
| Jun 30, 2026 | 9.44 Mn |
| Mar 31, 2026 | 8.74 Mn |
| Dec 31, 2025 | 9.24 Mn |
| Sep 30, 2025 | 8.54 Mn |
| Jun 30, 2025 | 8.55 Mn |
| Mar 31, 2025 | 8.58 Mn |
| Dec 31, 2024 | 7.47 Mn |
| Sep 30, 2024 | 7.81 Mn |
| Jun 30, 2024 | 7.55 Mn |
| Mar 31, 2024 | 6.85 Mn |
| Dec 31, 2023 | 7.54 Mn |
| Sep 30, 2023 | 7.17 Mn |
| Jun 30, 2023 | 8.03 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 6.87 Mn |
| Sep 30, 2022 | 7.81 Mn |
| Jun 30, 2022 | 7.31 Mn |
| Mar 31, 2022 | 7.34 Mn |
| Dec 31, 2021 | 6.82 Mn |
API Access
United Bankshares Equipment Expense 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=equipment-expense&ticker=UBSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "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=equipment-expense&ticker=UBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();