Deutsche Bank Aktiengesellschaft (DB) Short-Term Borrowings (2009 - 2026)
Analysis
Deutsche Bank Aktiengesellschaft (DB) Short-Term Borrowings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.38 Bn |
| Mar 31, 2026 | 27.80 Bn |
| Dec 31, 2025 | 21.38 Bn |
| Sep 30, 2025 | 17.44 Bn |
| Jun 30, 2025 | 21.21 Bn |
| Mar 31, 2025 | 16.36 Bn |
| Dec 31, 2024 | 10.30 Bn |
| Sep 30, 2024 | 9.11 Bn |
| Jun 30, 2024 | 11.45 Bn |
| Mar 31, 2024 | 8.77 Bn |
| Dec 31, 2023 | 10.65 Bn |
| Sep 30, 2023 | 9.29 Bn |
| Jun 30, 2023 | 7.70 Bn |
| Mar 31, 2023 | 5.35 Bn |
| Dec 31, 2022 | 5.46 Bn |
| Sep 30, 2022 | 6.14 Bn |
| Jun 30, 2022 | 5.42 Bn |
| Mar 31, 2022 | 4.97 Bn |
| Dec 31, 2021 | 4.57 Bn |
| Sep 30, 2021 | 3.63 Bn |
API Access
Deutsche Bank Aktiengesellschaft Short-Term Borrowings 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=short-term-borrowings&ticker=DB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();