Deutsche Bank Aktiengesellschaft (DB) EPS (Basic) (2009 - 2026)
Deutsche Bank Aktiengesellschaft (DB) reported EPS (Basic) of $1.40 for the quarter ended Jun 30, 2026, up 18.8% from $1.18 a year earlier and up 79.8% from the prior quarter.
Deutsche Bank Aktiengesellschaft (DB) EPS (Basic) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Deutsche Bank Aktiengesellschaft's EPS (Basic) came in at $6.68, up 34.0% year-over-year; for the year ended Dec 31, 2025, it came in at $4.01, up 100.9% from the prior year.
- EPS (Basic) has a five-year compound annual growth rate of 70.3% (years ended Dec 2020 to Dec 2025).
- By year, EPS (Basic) came in at $1.99 in the year ended Dec 31, 2024 (-34.1%), $3.02 in the year ended Dec 31, 2023 (+8.3%), $2.79 in the year ended Dec 31, 2022 (+116.4%) and $1.29 in the year ended Dec 31, 2021 (+361.0%).
- Five-year quarterly EPS (Basic) spans a low of $0.09 in the quarter ended Sep 30, 2021 and a high of $3.65 in the quarter ended Dec 31, 2025.
- Year over year, EPS (Basic) gained in five of the last eight quarters, with growth averaging 39.6%.
- The high point for year-over-year EPS (Basic) in five years was the quarter ended Sep 30, 2023 (growth of 211.3%); the low point was the quarter ended Jun 30, 2023 (a decline of 66.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $0.78 (quarter ended Mar 31, 2026), $3.65 (quarter ended Dec 31, 2025) and $0.85 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 7.71 |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 0.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.22 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 3.50 |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 3.07 |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 21.32 |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2.02 |
| 10 | Deutsche Bank Aktiengesellschaft | 68.28 Bn | 70.11 Bn | - | 1.40 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 |
| Mar 31, 2026 | 0.78 |
| Dec 31, 2025 | 3.65 |
| Sep 30, 2025 | 0.85 |
| Jun 30, 2025 | 1.18 |
| Mar 31, 2025 | 0.79 |
| Dec 31, 2024 | 1.45 |
| Sep 30, 2024 | 1.52 |
| Jun 30, 2024 | 0.59 |
| Mar 31, 2024 | 0.60 |
| Dec 31, 2023 | 2.20 |
| Sep 30, 2023 | 0.78 |
| Jun 30, 2023 | 0.34 |
| Mar 31, 2023 | 0.63 |
| Dec 31, 2022 | 1.07 |
| Sep 30, 2022 | 0.25 |
| Jun 30, 2022 | 1.02 |
| Mar 31, 2022 | 0.51 |
| Dec 31, 2021 | 1.06 |
| Sep 30, 2021 | 0.09 |
Deutsche Bank Aktiengesellschaft EPS (Basic) 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=eps-basic&ticker=DB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();