Woori Financial (WF) Change in Accured Expenses (2009 - 2019)
Woori Financial (WF) recorded Change in Accured Expenses of $44.93 million in Q2 2019, up 15.8% from the prior quarter.
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Analysis
Woori Financial (WF) Change in Accured Expenses (2009 - 2019) Analysis & Trends
On a TTM basis, Woori Financial's Change in Accured Expenses came in at $302.51 million as of Jun 30, 2019; for FY2010, it was $219.22 million.
- Across earlier years, Change in Accured Expenses came in at -$603.31 million in FY2009.
- The Q2 2019 figure is the highest quarterly Change in Accured Expenses since Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Woori Financial | 18.43 Bn | -300.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 44.93 Mn |
| Mar 31, 2019 | 38.80 Mn |
| Dec 31, 2010 | 218.44 Mn |
| Sep 30, 2010 | 347,717.78 |
| Jun 30, 2010 | 1.13 Mn |
| Mar 31, 2010 | -861,905.31 |
| Dec 31, 2009 | -653.48 Mn |
| Sep 30, 2009 | -1.47 Mn |
| Jun 30, 2009 | 27,257.64 |
| Mar 31, 2009 | 22,073.27 |
API Access
Woori Financial Change in Accured 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=change-in-accured-expenses&ticker=WF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "WF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=WF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();