EchoStar (ECHO) Research & Development (2009 - 2023)
EchoStar (ECHO) posted Research & Development of $6.46 million for Q3 2023, down 29.6% from $9.18 million a year earlier and down 5.5% from the prior quarter.
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Analysis
EchoStar (ECHO) Research & Development (2009 - 2023) Analysis & Trends
For the trailing twelve months through Sep 30, 2023, Research & Development at EchoStar was $28.81 million, down 16.2% year-over-year; for FY2022, it came in at $32.81 million, up 3.3% from FY2021.
- Annual Research & Development has increased for three consecutive years, with a five-year compound annual growth rate of 0.7% (FY2017 to FY2022).
- In prior years, EchoStar's Research & Development was $31.78 million in FY2021 (+7.9%), $29.45 million in FY2020 (+14.4%), $25.74 million in FY2019 (-6.6%) and $27.57 million in FY2018 (-13.2%).
- The Q3 2023 figure stands as the lowest quarterly Research & Development since Q1 2020.
- On a year-over-year basis, Research & Development increased in five of the last eight quarters, with an average decline of 2.2%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2020, with growth of 27.5%; the weakest was Q3 2023, with a decline of 29.6%.
- According to Business Quant data, Research & Development for the three prior quarters was $6.84 million (Q2 2023), $8.26 million (Q1 2023) and $7.25 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.18 Bn | 148.31 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 170.25 Bn | 155.00 Bn | 14.76 Bn | - |
| 3 | At&T | 162.35 Bn | 94.31 Bn | 25.82 Bn | - |
| 4 | Grupo Televisa, S.A.B | 149.53 Bn | 141.26 Bn | 318.12 Mn | - |
| 5 | Comcast | 79.50 Bn | 43.56 Bn | - | - |
| 6 | Vodafone Group Public | 38.13 Bn | 7.53 Bn | - | - |
| 7 | Chunghwa Telecom | 36.93 Bn | 28.95 Bn | 728.80 Mn | 36.19 Mn |
| 8 | EchoStar | 25.06 Bn | 16.15 Bn | 1.65 Bn | - |
| 9 | Telefonica Brasil | 20.65 Bn | 14.67 Bn | 1.42 Bn | - |
| 10 | Bce | 18.59 Bn | 16.71 Bn | 3.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 6.46 Mn |
| Jun 30, 2023 | 6.84 Mn |
| Mar 31, 2023 | 8.26 Mn |
| Dec 31, 2022 | 7.25 Mn |
| Sep 30, 2022 | 9.18 Mn |
| Jun 30, 2022 | 8.76 Mn |
| Mar 31, 2022 | 7.62 Mn |
| Dec 31, 2021 | 8.82 Mn |
| Sep 30, 2021 | 7.97 Mn |
| Jun 30, 2021 | 7.44 Mn |
| Mar 31, 2021 | 7.55 Mn |
| Dec 31, 2020 | 8.07 Mn |
| Sep 30, 2020 | 7.68 Mn |
| Jun 30, 2020 | 7.45 Mn |
| Mar 31, 2020 | 6.25 Mn |
| Dec 31, 2019 | 6.33 Mn |
| Sep 30, 2019 | 6.14 Mn |
| Jun 30, 2019 | 6.39 Mn |
| Mar 31, 2019 | 6.89 Mn |
| Dec 31, 2018 | 7.24 Mn |
API Access
EchoStar Research & Development 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=research-and-development&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();