EchoStar (ECHO) Income Taxes Paid (2009 - 2019)
EchoStar (ECHO) posted Income Taxes Paid of $1.46 million for Q4 2019, down 20.9% from $1.84 million a year earlier but up 61.4% from the prior quarter.
Powered by 
Analysis
EchoStar (ECHO) Income Taxes Paid (2009 - 2019) Analysis & Trends
For FY2019, EchoStar's Income Taxes Paid came in at $3.58 million, down 31.4% from FY2018.
- Annual Income Taxes Paid has declined for three consecutive years, with a five-year compound annual growth rate of -24.1% (FY2014 to FY2019).
- In prior years, EchoStar's Income Taxes Paid was $5.21 million in FY2018 (-52.8%), $11.03 million in FY2017 (-5.7%), $11.7 million in FY2016 (+83.0%) and $6.39 million in FY2015 (-55.0%).
- Quarterly Income Taxes Paid has run from a low of $445,000 in Q2 2019 to a high of $8.33 million in Q2 2017 over five years.
- On a year-over-year basis, Income Taxes Paid increased in three of the last eight quarters, with an average decline of 10.4%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was Q2 2016, with growth of 157.7%; the weakest was Q2 2018, with a decline of 79.2%.
- According to Business Quant data, Income Taxes Paid for the three prior quarters was $902,000 (Q3 2019), $445,000 (Q2 2019) and $772,000 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | - |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | - |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | - |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | - |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | - |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | - |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 138.58 Mn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1.46 Mn |
| Sep 30, 2019 | 902,000.00 |
| Jun 30, 2019 | 445,000.00 |
| Mar 31, 2019 | 772,000.00 |
| Dec 31, 2018 | 1.84 Mn |
| Sep 30, 2018 | 795,000.00 |
| Jun 30, 2018 | 1.74 Mn |
| Mar 31, 2018 | 839,000.00 |
| Dec 31, 2017 | 962,000.00 |
| Sep 30, 2017 | 702,000.00 |
| Jun 30, 2017 | 8.33 Mn |
| Mar 31, 2017 | 1.04 Mn |
| Dec 31, 2016 | 2.51 Mn |
| Sep 30, 2016 | 2.99 Mn |
| Jun 30, 2016 | 3.61 Mn |
| Mar 31, 2016 | 2.59 Mn |
| Dec 31, 2015 | 1.21 Mn |
| Sep 30, 2015 | 2.18 Mn |
| Jun 30, 2015 | 1.40 Mn |
| Mar 31, 2015 | 1.61 Mn |
API Access
EchoStar Income Taxes Paid 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=income-taxes-paid&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "ticker": "ECHO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=income-taxes-paid&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();