Globus Maritime (GLBS) Liabilities from Discontinued Operations (2012 - 2015)
Globus Maritime (GLBS) recorded Liabilities from Discontinued Operations of $5.35 million in the quarter ended Jun 30, 2015, down 44.6% from $9.65 million a year earlier.
Globus Maritime (GLBS) Liabilities from Discontinued Operations (2012 - 2015) Analysis & Trends
As of Dec 31, 2013, Globus Maritime reported Liabilities from Discontinued Operations of $11.37 million, up 28.1% from the prior year.
- Across earlier years, Liabilities from Discontinued Operations came in at $8.88 million in the year ended Dec 31, 2012.
- The figure for the quarter ended Jun 30, 2015 is the lowest quarterly Liabilities from Discontinued Operations in data going back to the quarter ended Dec 31, 2012.
- On a year-over-year basis, Liabilities from Discontinued Operations rose in four of the last five quarters, with growth averaging 6.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Globus Maritime | 71.87 Mn | -37.05 Mn | 14.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 5.35 Mn |
| Sep 30, 2014 | 9.65 Mn |
| Jun 30, 2014 | 9.65 Mn |
| Mar 31, 2014 | 11.37 Mn |
| Dec 31, 2013 | 11.37 Mn |
| Sep 30, 2013 | 8.68 Mn |
| Jun 30, 2013 | 8.68 Mn |
| Mar 31, 2013 | 8.88 Mn |
| Dec 31, 2012 | 8.88 Mn |
Globus Maritime Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=GLBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();