Deutsche Bank Aktiengesellschaft (DB) EV to EBITDA (2009 - 2024)
Deutsche Bank Aktiengesellschaft's (DB) EV to EBITDA came in at -3.44 for the year ended Dec 31, 2025, compared with -3.55 a year earlier.
Analysis
Deutsche Bank Aktiengesellschaft (DB) EV to EBITDA (2009 - 2024) Analysis & Trends
Since the year ended Dec 31, 2009, Deutsche Bank Aktiengesellschaft has reported EV to EBITDA for 16 years.
- The figure for the year ended Dec 31, 2025 stands as the highest annual EV to EBITDA since the year ended Dec 31, 2014.
- Business Quant data shows DB's EV to EBITDA at -3.55 in the year ended Dec 31, 2024, -4.71 in the year ended Dec 31, 2023, -14.45 in the year ended Dec 31, 2022 and -34.73 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Deutsche Bank Aktiengesellschaft | 68.28 Bn | 70.11 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -3.71 |
| Dec 31, 2023 | -5.79 |
| Dec 31, 2022 | -7.31 |
| Dec 31, 2021 | -9.54 |
| Dec 31, 2018 | -14.35 |
| Sep 30, 2018 | -1.16 |
| Jun 30, 2018 | -8.31 |
| Mar 31, 2018 | -4.05 |
| Dec 31, 2017 | -7.00 |
| Sep 30, 2017 | -11.25 |
| Jun 30, 2017 | -18.95 |
| Mar 31, 2017 | -15.42 |
| Dec 31, 2016 | -16.97 |
| Sep 30, 2016 | -9.22 |
| Jun 30, 2016 | -9.90 |
| Mar 31, 2016 | -8.53 |
| Dec 31, 2015 | -10.31 |
| Sep 30, 2015 | -4.19 |
| Jun 30, 2015 | -0.98 |
| Mar 31, 2015 | -1.68 |
API Access
Deutsche Bank Aktiengesellschaft EV to EBITDA 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=ev-to-ebitda&ticker=DB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();