Mizuho Financial (MFG) EV to EBITDA (2010 - 2023)
Mizuho Financial's (MFG) EV to EBITDA stood at -11.66 in the year ended Mar 31, 2026, compared with -12.06 a year earlier.
Analysis
Mizuho Financial (MFG) EV to EBITDA (2010 - 2023) Analysis & Trends
Starting with the year ended Mar 31, 2009, Mizuho Financial's EV to EBITDA history includes 18 years.
- The figure for the year ended Mar 31, 2026 is the highest annual EV to EBITDA in data going back to the year ended Mar 31, 2009.
- Per Business Quant data, MFG's EV to EBITDA was -12.06 in the year ended Mar 31, 2025, -17.49 in the year ended Mar 31, 2024, -407.66 in the year ended Mar 31, 2023 and -297.67 in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Mizuho Financial | 13.77 Bn | -1,104.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -1,780.61 |
| Dec 31, 2022 | -371.27 |
| Sep 30, 2022 | -777.09 |
| Jun 30, 2022 | -236.47 |
| Mar 31, 2022 | -531.25 |
| Dec 31, 2021 | -161.36 |
| Sep 30, 2021 | -394.37 |
| Jun 30, 2021 | -162.26 |
| Mar 31, 2021 | -455.53 |
| Dec 31, 2020 | -14.22 |
| Sep 30, 2020 | -588.29 |
| Jun 30, 2020 | -158.56 |
| Mar 31, 2020 | -698.48 |
| Dec 31, 2019 | 76.11 |
| Sep 30, 2019 | -1,197.74 |
| Jun 30, 2019 | -225.88 |
| Mar 31, 2019 | -886.06 |
| Dec 31, 2018 | -143.95 |
| Sep 30, 2018 | -832.53 |
| Jun 30, 2018 | -126.28 |
API Access
Mizuho 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=MFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MFG", "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=MFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();