EchoStar (ECHO) Capital Expenditures (2009 - 2026)
EchoStar (ECHO) reported Capital Expenditures of $92.3 million for Q2 2026, down 68.5% from $293.17 million a year earlier and down 30.8% from the prior quarter.
EchoStar (ECHO) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, EchoStar's Capital Expenditures came in at $639.86 million, down 48.0% year-over-year; for FY2025, it came in at $965.73 million, down 37.5% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $1.54 billion in FY2024 (-50.2%), $3.1 billion in FY2023 (+1.7%), $3.05 billion in FY2022 (+88.4%) and $1.62 billion in FY2021 (+296.1%).
- The Q2 2026 figure ranks as the lowest quarterly Capital Expenditures since Q3 2022.
- Year over year, Capital Expenditures has now declined in each of the last 11 quarters, with an average decline of 44.9% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q1 2023 (growth of 583.3%); the low point was Q4 2023 (a decline of 79.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $133.44 million (Q1 2026), $158.1 million (Q4 2025) and $256.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 4.01 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | 2.70 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 5.70 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 2.90 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | -167.60 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | 92.30 Mn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | 597.62 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | -780.76 Mn |
| 10 | Telefonica Brasil | 18.18 Bn | 12.18 Bn | 1.42 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.30 Mn |
| Mar 31, 2026 | 133.44 Mn |
| Dec 31, 2025 | 158.10 Mn |
| Sep 30, 2025 | 256.03 Mn |
| Jun 30, 2025 | 293.17 Mn |
| Mar 31, 2025 | 258.43 Mn |
| Dec 31, 2024 | 344.27 Mn |
| Sep 30, 2024 | 333.68 Mn |
| Jun 30, 2024 | 347.31 Mn |
| Mar 31, 2024 | 519.61 Mn |
| Dec 31, 2023 | 567.18 Mn |
| Sep 30, 2023 | 832.93 Mn |
| Jun 30, 2023 | 934.54 Mn |
| Mar 31, 2023 | 766.28 Mn |
| Dec 31, 2022 | 2.80 Bn |
| Sep 30, 2022 | 61.46 Mn |
| Jun 30, 2022 | 75.78 Mn |
| Mar 31, 2022 | 112.14 Mn |
| Dec 31, 2021 | 1.27 Bn |
| Sep 30, 2021 | 89.54 Mn |
EchoStar Capital Expenditures 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=capital-expenditures&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();