Ohio Valley Banc (OVBC) Accumulated Expenses (2010 - 2026)
Ohio Valley Banc (OVBC) posted Accumulated Expenses of $27.16 million for Q2 2026, up 6.2% from $25.59 million a year earlier but down 5.9% from the prior quarter.
Ohio Valley Banc (OVBC) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Ohio Valley Banc's Accumulated Expenses came in at $27.59 million, down 1.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Ohio Valley Banc's Accumulated Expenses was $28.06 million in FY2024 (+7.9%), $26 million in FY2023 (+27.7%), $20.37 million in FY2022 (+6.1%) and $19.2 million in FY2021 (-2.2%).
- Quarterly Accumulated Expenses has run from a low of $18.56 million in Q1 2022 to a high of $29.43 million in Q3 2024 over five years.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 27.7%; the weakest was Q3 2025, with a decline of 8.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $28.85 million (Q1 2026), $27.59 million (Q4 2025) and $26.83 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 | Ohio Valley Banc | 208.18 Mn | -130.44 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.16 Mn |
| Mar 31, 2026 | 28.85 Mn |
| Dec 31, 2025 | 27.59 Mn |
| Sep 30, 2025 | 26.83 Mn |
| Jun 30, 2025 | 25.59 Mn |
| Mar 31, 2025 | 24.78 Mn |
| Dec 31, 2024 | 28.06 Mn |
| Sep 30, 2024 | 29.43 Mn |
| Jun 30, 2024 | 26.83 Mn |
| Mar 31, 2024 | 24.53 Mn |
| Dec 31, 2023 | 26.00 Mn |
| Sep 30, 2023 | 25.47 Mn |
| Jun 30, 2023 | 22.32 Mn |
| Mar 31, 2023 | 19.99 Mn |
| Dec 31, 2022 | 20.37 Mn |
| Sep 30, 2022 | 21.77 Mn |
| Jun 30, 2022 | 19.86 Mn |
| Mar 31, 2022 | 18.56 Mn |
| Dec 31, 2021 | 19.20 Mn |
| Sep 30, 2021 | 19.75 Mn |
Ohio Valley Banc Accumulated 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=accumulated-expenses&ticker=OVBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "OVBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=OVBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();