Globus Maritime (GLBS) Dividends Paid - Common and Prefferd (2014 - 2016)
Globus Maritime (GLBS) posted Dividends Paid - Common and Prefferd of -$14,000 for the year ended Dec 31, 2016, compared with -$505,000 a year earlier.
Globus Maritime (GLBS) Dividends Paid - Common and Prefferd (2014 - 2016) Analysis & Trends
Since the year ended Dec 31, 2010, Globus Maritime has reported Dividends Paid - Common and Prefferd for 7 years.
- The figure for the year ended Dec 31, 2016 stands as the highest annual Dividends Paid - Common and Prefferd in data going back to the year ended Dec 31, 2010.
- Business Quant data shows GLBS's Dividends Paid - Common and Prefferd at -$505,000 in the year ended Dec 31, 2015, -$390,000 in the year ended Dec 31, 2014, -$163,000 in the year ended Dec 31, 2013 and -$3.01 million in the year ended Dec 31, 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.43 Bn | 171.95 Bn | - | 819.00 Mn |
| 2 | Csx | 95.92 Bn | 91.14 Bn | - | 259.00 Mn |
| 3 | United Parcel Service | 85.95 Bn | 62.85 Bn | - | 1.36 Bn |
| 4 | Canadian Pacific Kansas City | 80.52 Bn | 79.54 Bn | - | 147.48 Mn |
| 5 | Norfolk Southern | 75.79 Bn | 70.43 Bn | - | 303.00 Mn |
| 6 | Fedex | 71.86 Bn | 37.80 Bn | - | 346.00 Mn |
| 7 | Delta Air Lines | 51.80 Bn | 33.98 Bn | - | 141.00 Mn |
| 8 | Old Dominion Freight Line | 39.47 Bn | 38.73 Bn | - | 60.17 Mn |
| 9 | United Airlines Holdings | 33.07 Bn | -24.62 Bn | - | - |
| 10 | Globus Maritime | 63.70 Mn | -45.22 Mn | 9.87 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 28,000.00 |
| Mar 31, 2016 | -14,000.00 |
| Sep 30, 2015 | -66,000.00 |
| Jun 30, 2015 | -53,000.00 |
| Mar 31, 2015 | -120,000.00 |
| Jun 30, 2014 | -223,000.00 |
| Mar 31, 2014 | -167,000.00 |
Globus Maritime Dividends Paid - Common and Prefferd 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=dividends-paid-common-and-prefferd&ticker=GLBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "ticker": "GLBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividends-paid-common-and-prefferd&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();