EchoStar (ECHO) Depreciation and Depletion (2012 - 2023)
EchoStar's Depreciation and Depletion came in at $25.85 million for Q3 2023, up 6.9% from $24.18 million a year earlier and up 0.2% from the prior quarter.
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Analysis
EchoStar (ECHO) Depreciation and Depletion (2012 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2023, EchoStar reported Depreciation and Depletion of $698.45 million, up 198.9% year-over-year; for FY2022, it came in at $695.34 million, up 191.5% from FY2021.
- Depreciation and Depletion has increased in each of the last three years, with a five-year compound annual growth rate of 24.2% (FY2017 to FY2022).
- Going back by year, Depreciation and Depletion 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%).
- The five-year range for quarterly Depreciation and Depletion is -$138.58 million (Q4 2019) to $622.68 million (Q4 2022).
- Year-over-year, Depreciation and Depletion increased in six of the last eight quarters, with growth averaging 37.8%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2022 (growth of 286.7%), and the weakest in Q2 2020 (a decline of 77.8%).
- Business Quant data shows ECHO's Depreciation and Depletion at $25.81 million (Q2 2023), $24.1 million (Q1 2023) and $622.68 million (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | - |
Historic Data
Download Data
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 |
API Access
EchoStar Depreciation and Depletion 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-depletion&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();