EchoStar (ECHO) Depreciation & Amortization - Total (2012 - 2023)
EchoStar (ECHO) posted Depreciation & Amortization - Total of $25.85 million for Q3 2023, up 6.9% from $24.18 million a year earlier and up 0.2% from the prior quarter.
EchoStar (ECHO) Depreciation & Amortization - Total (2012 - 2023) Analysis & Trends
For the trailing twelve months through Sep 30, 2023, Depreciation & Amortization - Total at EchoStar was $698.45 million, up 198.9% year-over-year; for FY2022, it was $695.34 million, up 191.5% from FY2021.
- Annual Depreciation & Amortization - Total has increased for three consecutive years, with a five-year compound annual growth rate of 24.2% (FY2017 to FY2022).
- In prior years, EchoStar's Depreciation & Amortization - Total was $238.55 million in FY2021 (+0.2%), $238 million in FY2020 (+24.6%), $190.94 million in FY2019 (-29.0%) and $268.98 million in FY2018 (+14.1%).
- Quarterly Depreciation & Amortization - Total has run from a low of -$138.58 million in Q4 2019 to a high of $622.68 million in Q4 2022 over five years.
- On a year-over-year basis, Depreciation & Amortization - Total increased in six of the last eight quarters, with growth averaging 37.8%.
- The strongest year-over-year quarter for Depreciation & Amortization - Total in the past five years was Q4 2022, with growth of 286.7%; the weakest was Q2 2020, with a decline of 77.8%.
- According to Business Quant data, Depreciation & Amortization - Total for the three prior quarters was $25.81 million (Q2 2023), $24.1 million (Q1 2023) and $622.68 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | - |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | - |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | - |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 2.39 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | - |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | - |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | - |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 712.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 25.85 Mn |
| Jun 30, 2023 | 25.81 Mn |
| Mar 31, 2023 | 24.10 Mn |
| Dec 31, 2022 | 622.68 Mn |
| Sep 30, 2022 | 24.18 Mn |
| Jun 30, 2022 | 24.28 Mn |
| Mar 31, 2022 | 24.20 Mn |
| Dec 31, 2021 | 161.04 Mn |
| Sep 30, 2021 | 22.78 Mn |
| Jun 30, 2021 | 22.58 Mn |
| Mar 31, 2021 | 32.16 Mn |
| Dec 31, 2020 | 141.78 Mn |
| Sep 30, 2020 | 32.07 Mn |
| Jun 30, 2020 | 32.07 Mn |
| Mar 31, 2020 | 127.47 Mn |
| Dec 31, 2019 | -138.58 Mn |
| Sep 30, 2019 | 111.57 Mn |
| Jun 30, 2019 | 144.52 Mn |
| Mar 31, 2019 | 143.82 Mn |
| Dec 31, 2018 | -37.87 Mn |
EchoStar Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();