Deutsche Bank Aktiengesellschaft (DB) Interest Expense - Debt (2009 - 2022)
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Analysis
Deutsche Bank Aktiengesellschaft (DB) Interest Expense - Debt (2009 - 2022) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 1.57 Bn |
| Dec 31, 2018 | -3.42 Mn |
| Sep 30, 2018 | 2.33 Mn |
| Mar 31, 2018 | 1.23 Mn |
| Dec 31, 2017 | -3.53 Mn |
| Sep 30, 2017 | 3.53 Mn |
| Dec 31, 2016 | 24.83 Mn |
| Sep 30, 2016 | 1.12 Mn |
| Jun 30, 2016 | 102.82 Mn |
| Mar 31, 2016 | 6.62 Mn |
| Dec 31, 2015 | 4.38 Mn |
| Sep 30, 2015 | 434.90 Mn |
| Mar 31, 2015 | 444.02 Mn |
| Dec 31, 2014 | 1.25 Mn |
| Mar 31, 2014 | 65.78 Mn |
| Dec 31, 2013 | -34.03 Mn |
| Sep 30, 2013 | 33.13 Mn |
| Jun 30, 2013 | 14.36 Mn |
| Dec 31, 2012 | 11.67 Mn |
| Sep 30, 2011 | 11.32 Mn |
API Access
Deutsche Bank Aktiengesellschaft Interest Expense - Debt 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-debt&ticker=DB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-debt", "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-debt&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();