Deutsche Bank Aktiengesellschaft (DB) EV to CFO (2009 - 2018)
Deutsche Bank Aktiengesellschaft's (DB) EV to CFO was -1.66 for the year ended Dec 31, 2025.
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Analysis
Deutsche Bank Aktiengesellschaft (DB) EV to CFO (2009 - 2018) Analysis & Trends
Dating back to the year ended Dec 31, 2011, Deutsche Bank Aktiengesellschaft's EV to CFO record includes 9 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual EV to CFO in data going back to the year ended Dec 31, 2011.
- According to Business Quant data, EV to CFO came in at -34.28 in the year ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Deutsche Bank Aktiengesellschaft | 70.60 Bn | -430.78 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | -5.68 |
| Dec 31, 2017 | -10.36 |
| Sep 30, 2017 | -2.26 |
| Jun 30, 2017 | -2.13 |
| Mar 31, 2017 | -3.23 |
| Dec 31, 2016 | -4.63 |
| Sep 30, 2016 | -5.84 |
| Jun 30, 2016 | -1.76 |
| Mar 31, 2016 | -2.47 |
| Dec 31, 2015 | -4.00 |
| Sep 30, 2015 | -5.70 |
| Jun 30, 2015 | -23.10 |
| Mar 31, 2015 | -9.45 |
| Dec 31, 2014 | -67.35 |
| Sep 30, 2014 | -11.17 |
| Jun 30, 2014 | -15.05 |
| Mar 31, 2014 | -51.13 |
| Dec 31, 2013 | -25.87 |
| Sep 30, 2013 | -76.15 |
| Mar 31, 2013 | 12.72 |
API Access
Deutsche Bank Aktiengesellschaft EV to CFO 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-cfo&ticker=DB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();