Hanmi Financial (HAFC) Restructuring Costs (2013 - 2018)
Hanmi Financial's Restructuring Costs came in at $846,000 for FY2018, compared with -$40,000 in FY2017.
Analysis
Hanmi Financial (HAFC) Restructuring Costs (2013 - 2018) Analysis & Trends
Going back to FY2013, Hanmi Financial's Restructuring Costs data covers 6 years.
- Restructuring Costs carries a five-year compound annual growth rate of 3.0% (FY2013 to FY2018).
- The FY2018 figure represents the highest annual Restructuring Costs since FY2015.
- Per Business Quant, earlier years put Restructuring Costs at -$40,000 in FY2017, $312,000 in FY2016 (-84.2%), $1.97 million in FY2015 (-70.3%) and $6.65 million in FY2014 (+810.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Hanmi Financial | 923.90 Mn | 923.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 466,000.00 |
| Jun 30, 2018 | 380,000.00 |
| Jun 30, 2017 | -9,000.00 |
| Mar 31, 2017 | -31,000.00 |
| Dec 31, 2016 | 312,000.00 |
| Dec 31, 2015 | 224,000.00 |
| Jun 30, 2015 | 136,000.00 |
| Mar 31, 2015 | 1.61 Mn |
| Dec 31, 2014 | 3.07 Mn |
| Sep 30, 2014 | 3.42 Mn |
| Jun 30, 2014 | 72,000.00 |
| Mar 31, 2014 | 85,000.00 |
| Dec 31, 2013 | -601,000.00 |
| Sep 30, 2013 | 307,000.00 |
API Access
Hanmi 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=HAFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "HAFC", "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=HAFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();