EchoStar (ECHO) Goodwill & Intangibles (2009 - 2026)
EchoStar's (ECHO) quarterly Goodwill & Intangibles came in at $8.7 billion in Q2 2026, up 902.34% quarter-over-quarter from $864.7 million in Q4 2025.
EchoStar (ECHO) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
EchoStar has disclosed Goodwill & Intangibles across 18 years of filings, most recently posting $8.7 billion for Q2 2026.
- In Q2 2026, Goodwill & Intangibles changed N/A year-over-year to $8.7 billion; the TTM figure through Jun 2026 stood at $8.7 billion (changed N/A YoY), while the FY2025 annual figure was $864.7 million, down 29.37% from the prior year.
- Goodwill & Intangibles came in at $8.7 billion for Q2 2026 at EchoStar, up from $864.7 million in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $8.7 billion in Q2 2026 to a low of $546.7 million in Q3 2023.
- Average Goodwill & Intangibles over 5 years is $1.6 billion, with a median of $553.2 million recorded in 2022.
- The largest YoY upside for Goodwill & Intangibles was 164.22% in 2022 against a maximum downside of 44.2% in 2022.
- Over 5 years, Goodwill & Intangibles stood at $2.0 billion in 2022, then sank by 38.22% to $1.2 billion in 2023, then slipped by 0.01% to $1.2 billion in 2024, then decreased by 29.37% to $864.7 million in 2025, then surged by 902.34% to $8.7 billion in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $8.7 billion in Q2 2026, $864.7 million in Q4 2025, and $1.2 billion in Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 195.65 Bn | 160.05 Bn | 27.03 Bn |
| 2 | T-Mobile US | 177.81 Bn | 162.55 Bn | 14.76 Bn |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - |
| 10 | Telefonica Brasil | 18.53 Bn | 12.53 Bn | 1.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.67 Bn |
| Sep 30, 2023 | 546.69 Mn |
| Jun 30, 2023 | 547.88 Mn |
| Mar 31, 2023 | 548.01 Mn |
| Dec 31, 2022 | 773.21 Mn |
| Sep 30, 2022 | 548.89 Mn |
| Jun 30, 2022 | 550.52 Mn |
| Mar 31, 2022 | 553.19 Mn |
| Dec 31, 2021 | 750.09 Mn |
| Sep 30, 2021 | 525.64 Mn |
| Jun 30, 2021 | 986.66 Mn |
| Mar 31, 2021 | 987.04 Mn |
| Dec 31, 2020 | 530.03 Mn |
| Sep 30, 2020 | 984.48 Mn |
| Jun 30, 2020 | 983.52 Mn |
| Mar 31, 2020 | 980.48 Mn |
| Dec 31, 2019 | 985.55 Mn |
| Sep 30, 2019 | 930.36 Mn |
| Jun 30, 2019 | 932.22 Mn |
| Mar 31, 2019 | 932.81 Mn |
EchoStar Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();