EchoStar (ECHO) Intangibles (2009 - 2026)
EchoStar's (ECHO) quarterly 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) Intangibles (2009 - 2026) Analysis & Trends
EchoStar has disclosed Intangibles across 18 years of filings, most recently posting $8.7 billion for Q2 2026.
- In Q2 2026, 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.
- 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, Intangibles ranged from a high of $8.7 billion in Q2 2026 to a low of $14.0 million in Q3 2023.
- Average Intangibles over 5 years is $1.2 billion, with a median of $17.8 million recorded in 2022.
- The largest YoY upside for Intangibles was 8655.45% in 2022 against a maximum downside of 96.42% in 2022.
- Over 5 years, Intangibles stood at $1.2 billion in 2022, then declined by 0.0% 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 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) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 195.65 Bn | 160.05 Bn | 27.03 Bn | 158.16 Bn |
| 2 | T-Mobile US | 177.81 Bn | 162.55 Bn | 14.76 Bn | 98.18 Bn |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn | 129.12 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn | 1.42 Bn |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - | 59.37 Bn |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn | 1.79 Bn |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn | 8.67 Bn |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn | - |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - | 12.79 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 | 13.98 Mn |
| Jun 30, 2023 | 14.58 Mn |
| Mar 31, 2023 | 15.15 Mn |
| Dec 31, 2022 | 15.70 Mn |
| Sep 30, 2022 | 16.32 Mn |
| Jun 30, 2022 | 17.02 Mn |
| Mar 31, 2022 | 17.79 Mn |
| Dec 31, 2021 | 13.98 Mn |
| Sep 30, 2021 | 14.38 Mn |
| Jun 30, 2021 | 474.77 Mn |
| Mar 31, 2021 | 476.09 Mn |
| Dec 31, 2020 | 18.43 Mn |
| Sep 30, 2020 | 475.82 Mn |
| Jun 30, 2020 | 474.46 Mn |
| Mar 31, 2020 | 471.16 Mn |
| Dec 31, 2019 | 478.60 Mn |
| Sep 30, 2019 | 426.19 Mn |
| Jun 30, 2019 | 428.05 Mn |
| Mar 31, 2019 | 428.64 Mn |
EchoStar 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=intangibles&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();