Deutsche Bank Aktiengesellschaft (DB) Land & Improvements (2016 - 2018)
Deutsche Bank Aktiengesellschaft (DB) recorded Land & Improvements of $31.96 million in the quarter ended Dec 31, 2018, up 93.9% from $16.48 million a year earlier.
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Analysis
Deutsche Bank Aktiengesellschaft (DB) Land & Improvements (2016 - 2018) Analysis & Trends
As of Dec 31, 2018, Deutsche Bank Aktiengesellschaft reported Land & Improvements of $33.08 million, up 100.7% from the prior year.
- Across earlier years, Land & Improvements came in at $16.48 million in the year ended Dec 31, 2017 (+27.2%) and $12.96 million in the year ended Dec 31, 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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, 2018 | 31.96 Mn |
| Dec 31, 2017 | 16.48 Mn |
| Dec 31, 2016 | 12.96 Mn |
API Access
Deutsche Bank Aktiengesellschaft Land & Improvements 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=land-and-improvements&ticker=DB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();