Deutsche Bank Aktiengesellschaft (DB) Price to FCF (2009 - 2018)
Deutsche Bank Aktiengesellschaft's (DB) Price to FCF came in at 0.72 for the year ended Dec 31, 2025.
Powered by 
Analysis
Deutsche Bank Aktiengesellschaft (DB) Price to FCF (2009 - 2018) Analysis & Trends
Since the year ended Dec 31, 2011, Deutsche Bank Aktiengesellschaft has reported Price to FCF for 9 years.
- The figure for the year ended Dec 31, 2025 stands as the lowest annual Price to FCF since the year ended Dec 31, 2020.
- Business Quant data shows DB's Price to FCF at 4.81 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 | 0.89 |
| Dec 31, 2017 | 0.89 |
| Sep 30, 2017 | 0.27 |
| Jun 30, 2017 | 0.27 |
| Mar 31, 2017 | 0.42 |
| Dec 31, 2016 | 0.29 |
| Sep 30, 2016 | 0.51 |
| Jun 30, 2016 | 0.16 |
| Mar 31, 2016 | 0.29 |
| Dec 31, 2015 | 0.39 |
| Sep 30, 2015 | 0.87 |
| Jun 30, 2015 | 3.57 |
| Mar 31, 2015 | 1.83 |
| Dec 31, 2014 | 6.86 |
| Sep 30, 2014 | 1.53 |
| Jun 30, 2014 | 1.77 |
| Mar 31, 2014 | 7.18 |
| Dec 31, 2013 | 3.98 |
| Sep 30, 2013 | 8.70 |
| Mar 31, 2013 | 9.56 |
API Access
Deutsche Bank Aktiengesellschaft Price to FCF 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=price-to-fcf&ticker=DB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();