Deutsche Bank Aktiengesellschaft (DB) Price to FCF (2009 - 2025)
Deutsche Bank Aktiengesellschaft's (DB) Price to FCF came in at 3.11 for the quarter ended Dec 31, 2025.
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Analysis
Deutsche Bank Aktiengesellschaft (DB) Price to FCF (2009 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Deutsche Bank Aktiengesellschaft's Price to FCF stood at 1.37.
- In prior years, Deutsche Bank Aktiengesellschaft's Price to FCF was 4.14 in the year ended Dec 31, 2023.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Price to FCF since the quarter ended Dec 31, 2023.
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, 2025 | 3.11 |
| Dec 31, 2023 | 13.29 |
| Mar 31, 2018 | 0.59 |
| Dec 31, 2017 | 0.59 |
| 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 |
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();