Euroseas (ESEA) Non-cash Items (2009 - 2018)
Euroseas (ESEA) recorded Non-cash Items of -$4.14 million in the quarter ended Mar 31, 2018, compared with -$567,577 a year earlier.
Euroseas (ESEA) Non-cash Items (2009 - 2018) Analysis & Trends
On a TTM basis, Euroseas' Non-cash Items came in at -$4.49 million as of Mar 31, 2018; for the year ended Dec 31, 2013, it came in at -$6.17 million.
- Across earlier years, Non-cash Items came in at $5.24 million in the year ended Dec 31, 2012 (+115.5%), $2.43 million in the year ended Dec 31, 2011, -$10.19 million in the year ended Dec 31, 2010 and $9.85 million in the year ended Dec 31, 2009.
- The figure for the quarter ended Mar 31, 2018 is the lowest quarterly Non-cash Items since the quarter ended Jun 30, 2010.
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 | Euroseas | 503.23 Mn | -118.36 Mn | 113.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | -4.14 Mn |
| Mar 31, 2017 | -567,577.00 |
| Mar 31, 2016 | 943,895.00 |
| Sep 30, 2015 | -719,388.00 |
| Dec 31, 2013 | -1.46 Mn |
| Sep 30, 2013 | -478,653.00 |
| Jun 30, 2013 | -2.53 Mn |
| Mar 31, 2013 | -1.70 Mn |
| Dec 31, 2012 | 372,697.00 |
| Sep 30, 2012 | 3.72 Mn |
| Jun 30, 2012 | -311,594.00 |
| Mar 31, 2012 | 1.45 Mn |
| Dec 31, 2011 | -1.39 Mn |
| Sep 30, 2011 | 1.49 Mn |
| Jun 30, 2011 | 3.00 Mn |
| Mar 31, 2011 | -674,984.00 |
| Dec 31, 2010 | -2.58 Mn |
| Sep 30, 2010 | 72,526.00 |
| Jun 30, 2010 | -5.33 Mn |
| Mar 31, 2010 | -2.35 Mn |
Euroseas Non-cash Items 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=non-cash-items&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "ticker": "ESEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-cash-items&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();