Deutsche Bank Aktiengesellschaft (DB) Interest Expense - Others (2009 - 2018)
Analysis
Deutsche Bank Aktiengesellschaft (DB) Interest Expense - Others (2009 - 2018) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 2.01 Bn |
| Sep 30, 2018 | 2.51 Bn |
| Jun 30, 2018 | 3.52 Bn |
| Mar 31, 2018 | 3.34 Bn |
| Dec 31, 2017 | 2.72 Bn |
| Sep 30, 2017 | 3.20 Bn |
| Jun 30, 2017 | 3.50 Bn |
| Mar 31, 2017 | 3.15 Bn |
| Dec 31, 2016 | 2.64 Bn |
| Sep 30, 2016 | 3.16 Bn |
| Jun 30, 2016 | 3.32 Bn |
| Mar 31, 2016 | 2.32 Bn |
| Dec 31, 2015 | 2.25 Bn |
| Sep 30, 2015 | 2.87 Bn |
| Jun 30, 2015 | 3.11 Bn |
| Mar 31, 2015 | 2.09 Bn |
| Dec 31, 2014 | 3.33 Bn |
| Sep 30, 2014 | 3.31 Bn |
| Jun 30, 2014 | 3.70 Bn |
| Mar 31, 2014 | 3.87 Bn |
API Access
Deutsche Bank Aktiengesellschaft Interest Expense - Others 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=interest-expense-others&ticker=DB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-others", "ticker": "DB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expense-others&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();