Deutsche Bank Aktiengesellschaft (DB) Cash & Equivalents (2014 - 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 (2014 - 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 | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Deutsche Bank Aktiengesellschaft | 59.41 Bn | -492.81 Bn | - | 150.66 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.66 Bn |
| Dec 31, 2025 | 193.43 Bn |
| Jun 30, 2025 | 160.81 Bn |
| Dec 31, 2024 | 153.48 Bn |
| Jun 30, 2024 | 159.15 Bn |
| Dec 31, 2023 | 197.47 Bn |
| Jun 30, 2023 | 178.87 Bn |
| Dec 31, 2022 | 190.72 Bn |
| Jun 30, 2022 | 184.98 Bn |
| Dec 31, 2021 | 217.46 Bn |
| Jun 30, 2021 | 235.98 Bn |
| Dec 31, 2020 | 204.43 Bn |
| Jun 30, 2020 | 186.96 Bn |
| Dec 31, 2019 | 154.13 Bn |
| Jun 30, 2019 | 183.08 Bn |
| Dec 31, 2018 | 215.91 Bn |
| Jun 30, 2018 | 240.61 Bn |
| Dec 31, 2017 | 269.47 Bn |
| Dec 31, 2016 | 196.33 Bn |
| Dec 31, 2015 | 115.33 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();