Mizuho Financial (MFG) Restructuring Costs (2015 - 2023)
Mizuho Financial (MFG) reported Restructuring Costs of $87.72 million for the quarter ended Mar 31, 2023, down 30.1% from $125.53 million a year earlier but up 4.7% from the prior quarter.
Mizuho Financial (MFG) Restructuring Costs (2015 - 2023) Analysis & Trends
For the year ended Mar 31, 2023, Mizuho Financial posted Restructuring Costs of $389.28 million, down 37.7% from the prior year.
- Restructuring Costs has a five-year compound annual growth rate of -2.8% (years ended Mar 2018 to Mar 2023).
- By year, Restructuring Costs came in at $625.24 million in the year ended Mar 31, 2022 (-9.8%), $693.1 million in the year ended Mar 31, 2021 (+30.0%), $532.97 million in the year ended Mar 31, 2020 (+11.1%) and $479.62 million in the year ended Mar 31, 2019 (+7.0%).
- Five-year quarterly Restructuring Costs spans a low of $83.8 million in the quarter ended Dec 31, 2022 and a high of $195.76 million in the quarter ended Mar 31, 2021.
- Year over year, Restructuring Costs has now declined in each of the last six quarters, with an average decline of 22.2% over the last eight quarters.
- The high point for year-over-year Restructuring Costs in five years was the quarter ended Mar 31, 2021 (growth of 41.4%); the low point was the quarter ended Dec 31, 2022 (a decline of 44.5%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2023 came in at $83.8 million (quarter ended Dec 31, 2022), $107.08 million (quarter ended Sep 30, 2022) and $111.03 million (quarter ended Jun 30, 2022).
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
| Date | Value |
|---|---|
| Mar 31, 2023 | 87.72 Mn |
| Dec 31, 2022 | 83.80 Mn |
| Sep 30, 2022 | 107.08 Mn |
| Jun 30, 2022 | 111.03 Mn |
| Mar 31, 2022 | 125.53 Mn |
| Dec 31, 2021 | 151.05 Mn |
| Sep 30, 2021 | 188.37 Mn |
| Jun 30, 2021 | 161.71 Mn |
| Mar 31, 2021 | 195.76 Mn |
| Dec 31, 2020 | 191.51 Mn |
| Sep 30, 2020 | 162.28 Mn |
| Jun 30, 2020 | 144.23 Mn |
| Mar 31, 2020 | 138.46 Mn |
| Dec 31, 2019 | 154.31 Mn |
| Sep 30, 2019 | 125.33 Mn |
| Jun 30, 2019 | 114.90 Mn |
| Mar 31, 2019 | 122.47 Mn |
| Dec 31, 2018 | 114.35 Mn |
| Sep 30, 2018 | 117.32 Mn |
| Jun 30, 2018 | 125.70 Mn |
Mizuho Financial Restructuring Costs 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=restructuring-costs&ticker=MFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();