Mvb Financial (MVBF) EV to EBITDA (2012 - 2026)
Mvb Financial's (MVBF) EV to EBITDA was 0.00 for Q2 2026, compared with -1.58 a year earlier and down 99.5% from the prior quarter.
Mvb Financial (MVBF) EV to EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mvb Financial's EV to EBITDA came in at -7.07; for FY2025, it came in at 0.31.
- By year, EV to EBITDA came in at -0.85 in FY2024, -1.51 in FY2023, 5.38 in FY2022 (+101.0%) and 2.68 in FY2021.
- Five-year quarterly EV to EBITDA spans a low of -7.27 in Q1 2023 and a high of 6.52 in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.81 (Q1 2026), 0.31 (Q4 2025) and -0.25 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Mvb Financial | 333.48 Mn | -838.11 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.06 |
| Jun 30, 2026 | 0.00 |
| Mar 31, 2026 | 0.81 |
| Dec 31, 2025 | 0.31 |
| Sep 30, 2025 | -0.25 |
| Jun 30, 2025 | -1.58 |
| Mar 31, 2025 | -0.69 |
| Dec 31, 2024 | -0.85 |
| Sep 30, 2024 | -3.78 |
| Jun 30, 2024 | -2.39 |
| Mar 31, 2024 | -3.58 |
| Dec 31, 2023 | -1.51 |
| Sep 30, 2023 | -3.86 |
| Jun 30, 2023 | -3.20 |
| Mar 31, 2023 | -7.27 |
| Dec 31, 2022 | 5.38 |
| Sep 30, 2022 | 6.52 |
| Jun 30, 2022 | 4.15 |
| Mar 31, 2022 | 2.20 |
| Dec 31, 2021 | 2.68 |
Mvb Financial EV to EBITDA 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=ev-to-ebitda&ticker=MVBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MVBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=MVBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();