EchoStar (ECHO) Cash & Equivalents (2009 - 2026)
EchoStar's (ECHO) quarterly Cash & Equivalents came in at $440.0 million in Q2 2026, down 81.24% year-over-year from $2.3 billion in Q2 2025, and down 67.26% quarter-over-quarter from $1.3 billion in Q1 2026.
EchoStar (ECHO) Cash & Equivalents (2009 - 2026) Analysis & Trends
EchoStar has disclosed Cash & Equivalents across 18 years of filings, most recently posting $440.0 million for Q2 2026.
- In Q2 2026, Cash & Equivalents fell 81.24% year-over-year to $440.0 million; the TTM figure through Jun 2026 stood at $440.0 million (down 81.24% YoY), while the FY2025 annual figure was $1.9 billion, down 56.26% from the prior year.
- Cash & Equivalents came in at $440.0 million for Q2 2026 at EchoStar, down from $1.3 billion in the prior quarter.
- In the past five years, Cash & Equivalents ranged from a high of $4.3 billion in Q4 2024 to a low of $419.2 million in Q2 2024.
- Average Cash & Equivalents over 5 years is $1.6 billion, with a median of $1.2 billion recorded in 2023.
- Year-over-year, Cash & Equivalents surged 459.36% in 2025 and plunged 81.24% in 2026.
- Over 5 years, Cash & Equivalents stood at $2.5 billion in 2022, then declined by 27.07% to $1.8 billion in 2023, then soared by 136.38% to $4.3 billion in 2024, then plunged by 56.26% to $1.9 billion in 2025, then sank by 76.63% to $440.0 million in 2026.
- Per Business Quant data, the three most recent Cash & Equivalents figures were $440.0 million in Q2 2026, $1.3 billion in Q1 2026, and $1.9 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 195.65 Bn | 160.05 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 177.81 Bn | 162.55 Bn | 14.76 Bn | 2.83 Bn |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn | 17.57 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn | 1.70 Bn |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - | 7.66 Bn |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn | 1.34 Bn |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn | 439.99 Mn |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn | 2.29 Bn |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - | 344.84 Mn |
| 10 | Telefonica Brasil | 18.53 Bn | 12.53 Bn | 1.42 Bn | 1.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 439.99 Mn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 1.88 Bn |
| Sep 30, 2025 | 2.43 Bn |
| Jun 30, 2025 | 2.35 Bn |
| Mar 31, 2025 | 2.53 Bn |
| Dec 31, 2024 | 4.31 Bn |
| Sep 30, 2024 | 622.61 Mn |
| Jun 30, 2024 | 419.25 Mn |
| Mar 31, 2024 | 613.70 Mn |
| Dec 31, 2023 | 1.82 Bn |
| Sep 30, 2023 | 1.09 Bn |
| Jun 30, 2023 | 702.06 Mn |
| Mar 31, 2023 | 920.11 Mn |
| Dec 31, 2022 | 2.50 Bn |
| Sep 30, 2022 | 901.27 Mn |
| Jun 30, 2022 | 991.60 Mn |
| Mar 31, 2022 | 889.20 Mn |
| Dec 31, 2021 | 535.89 Mn |
| Sep 30, 2021 | 429.66 Mn |
EchoStar Cash & Equivalents 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=cash-and-equivalents&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();