Euroseas (ESEA) Long-Term Deferred Tax (2009 - 2017)
Euroseas' Long-Term Deferred Tax was $7.08 million in the quarter ended Dec 31, 2017, up 19.8% from $5.91 million a year earlier.
Analysis
Euroseas (ESEA) Long-Term Deferred Tax (2009 - 2017) Analysis & Trends
From the quarter ended Dec 31, 2009 onward, Euroseas has reported Long-Term Deferred Tax for 9 quarters.
- Long-Term Deferred Tax shows a five-year compound annual growth rate of -5.3% (years ended Dec 2012 to Dec 2017).
- In earlier years, Long-Term Deferred Tax was $5.91 million in the year ended Dec 31, 2016 (+19.0%), $4.97 million in the year ended Dec 31, 2015 (-35.5%), $7.7 million in the year ended Dec 31, 2014 (+1.8%) and $7.57 million in the year ended Dec 31, 2013 (-18.8%).
- The figure for the quarter ended Dec 31, 2017 marks the highest quarterly Long-Term Deferred Tax since the quarter ended Dec 31, 2014.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 7.08 Mn |
| Dec 31, 2016 | 5.91 Mn |
| Dec 31, 2015 | 4.97 Mn |
| Dec 31, 2014 | 7.70 Mn |
| Dec 31, 2013 | 7.57 Mn |
| Dec 31, 2012 | 9.32 Mn |
| Dec 31, 2011 | 5.75 Mn |
| Dec 31, 2010 | 5.40 Mn |
| Dec 31, 2009 | 7.21 Mn |
API Access
Euroseas Long-Term Deferred Tax 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=long-term-deferred-tax&ticker=ESEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-deferred-tax", "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=long-term-deferred-tax&ticker=ESEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();