Deutsche Bank Aktiengesellschaft (DB) Cash & Equivalents (2009 - 2026)
Deutsche Bank Aktiengesellschaft (DB) posted Cash & Equivalents of $153.31 billion for the quarter ended Jun 30, 2026, down 1.2% from $155.22 billion a year earlier.
Deutsche Bank Aktiengesellschaft (DB) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Deutsche Bank Aktiengesellschaft's Cash & Equivalents came in at $186.03 billion, up 16.5% from the prior year.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -1.3% (years ended Dec 2020 to Dec 2025).
- In prior years, Deutsche Bank Aktiengesellschaft's Cash & Equivalents was $159.64 billion in the year ended Dec 31, 2024 (-17.3%), $193 billion in the year ended Dec 31, 2023 (+2.4%), $188.55 billion in the year ended Dec 31, 2022 (-14.2%) and $219.67 billion in the year ended Dec 31, 2021 (+10.8%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Cash & Equivalents since the quarter ended Dec 31, 2019.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last four quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was the quarter ended Dec 31, 2025, with growth of 21.6%; the weakest was the quarter ended Jun 30, 2022, with a decline of 20.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (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 | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 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 | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Deutsche Bank Aktiengesellschaft | 68.28 Bn | 70.11 Bn | - | 153.31 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.31 Bn |
| Dec 31, 2025 | 191.67 Bn |
| Jun 30, 2025 | 155.22 Bn |
| Dec 31, 2024 | 157.61 Bn |
| Jun 30, 2024 | 160.05 Bn |
| Dec 31, 2023 | 191.96 Bn |
| Jun 30, 2023 | 179.22 Bn |
| Dec 31, 2022 | 182.52 Bn |
| Jun 30, 2022 | 188.94 Bn |
| Dec 31, 2021 | 219.67 Bn |
| Jun 30, 2021 | 238.77 Bn |
| Dec 31, 2020 | 198.17 Bn |
| Jun 30, 2020 | 183.10 Bn |
| Dec 31, 2019 | 152.30 Bn |
| Jun 30, 2019 | 180.89 Bn |
| Dec 31, 2018 | 215.42 Bn |
| Jun 30, 2018 | 248.34 Bn |
| Dec 31, 2017 | 265.69 Bn |
| Sep 30, 2017 | 244.45 Bn |
| Jun 30, 2017 | 254.59 Bn |
Deutsche Bank Aktiengesellschaft Cash & Equivalents 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=cash-and-equivalents&ticker=DB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();