Ing Groep (ING) Provisions (2009 - 2019)
Ing Groep's Provisions came in at $1.27 billion for Q4 2019, compared with $2.28 million a year earlier.
Analysis
Ing Groep (ING) Provisions (2009 - 2019) Analysis & Trends
Going back to Q1 2009, Ing Groep's Provisions data covers 17 quarters.
- Provisions carries a five-year compound annual growth rate of -9.7% (FY2014 to FY2019).
- Going back by year, Provisions was $2.36 million in FY2018 (-99.7%), $831 million in FY2017 (-19.2%), $1.03 billion in FY2016 (-32.1%) and $1.51 billion in FY2015 (-28.6%).
- The Q4 2019 figure represents the highest quarterly Provisions since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Ing Groep | 103.01 Bn | -127.17 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1.27 Bn |
| Dec 31, 2018 | 2.28 Mn |
| Dec 31, 2016 | 2.16 Mn |
| Dec 31, 2014 | 499.93 Bn |
| Sep 30, 2014 | 427.39 Bn |
| Dec 31, 2013 | 762.21 Mn |
| Sep 30, 2013 | 2,289.67 Bn |
| Mar 31, 2013 | 740.72 Mn |
| Dec 31, 2012 | 763.87 Mn |
| Sep 30, 2012 | 692.84 Mn |
| Mar 31, 2012 | 575.67 Mn |
| Sep 30, 2010 | 378.34 Mn |
| Jun 30, 2010 | 592.80 Mn |
| Mar 31, 2010 | 463.88 Mn |
| Sep 30, 2009 | 624.94 Mn |
| Jun 30, 2009 | 1.11 Bn |
| Mar 31, 2009 | 524.40 Mn |
API Access
Ing Groep Provisions 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=provisions&ticker=ING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "ticker": "ING", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provisions&ticker=ING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();