Woori Financial (WF) Non-cash Items (2017 - 2020)
Woori Financial (WF) reported Non-cash Items of $4.05 trillion for FY2025, up 37.1% from $2.96 trillion in FY2024.
Analysis
Woori Financial (WF) Non-cash Items (2017 - 2020) Analysis & Trends
Dating back to FY2016, Woori Financial's Non-cash Items record includes 10 years.
- Non-cash Items has increased for four consecutive years, with a five-year compound annual growth rate of 359.4% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Non-cash Items in data going back to FY2016.
- According to Business Quant data, Non-cash Items came in at $2.96 trillion in FY2024 (+4.6%), $2.82 trillion in FY2023 (+13.3%), $2.49 trillion in FY2022 (+60.0%) and $1.56 trillion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Woori Financial | 18.41 Bn | -300.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 1.92 Bn |
| Sep 30, 2020 | 1.89 Mn |
| Jun 30, 2020 | 2.56 Mn |
| Mar 31, 2020 | 1.34 Mn |
| Dec 31, 2019 | 1.12 Bn |
| Sep 30, 2019 | -568.33 Mn |
| Jun 30, 2019 | -580.89 Mn |
| Mar 31, 2019 | 3.98 Mn |
| Dec 31, 2018 | 290.64 Mn |
| Dec 31, 2017 | 561.75 Mn |
API Access
Woori Financial Non-cash Items 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=non-cash-items&ticker=WF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=WF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();