EchoStar (ECHO) Property, Plant & Equipment (Net) (2009 - 2026)
EchoStar's Property, Plant & Equipment (Net) came in at $1.36 billion for Q3 2026, down 56.0% from $3.08 billion a year earlier and down 22.9% from the prior quarter.
EchoStar (ECHO) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, EchoStar's Property, Plant & Equipment (Net) was $2.24 billion, down 75.6% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $9.19 billion in FY2024 (-3.9%), $9.56 billion in FY2023 (+21.0%), $7.9 billion in FY2022 (+238.1%) and $2.34 billion in FY2021 (-2.2%).
- The Q3 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q1 2011.
- Year-over-year, Property, Plant & Equipment (Net) has declined for eight consecutive quarters, with an average decline of 46.4% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2024 (growth of 340.7%), and the weakest in Q2 2026 (a decline of 79.9%).
- Business Quant data shows ECHO's Property, Plant & Equipment (Net) at $1.76 billion (Q2 2026), $2.2 billion (Q1 2026) and $2.24 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 125.13 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 36.04 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 132.15 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 66.96 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 8.80 Bn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | 39.19 Bn |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 1.36 Bn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 23.20 Bn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | 8.87 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.36 Bn |
| Jun 30, 2026 | 1.76 Bn |
| Mar 31, 2026 | 2.20 Bn |
| Dec 31, 2025 | 2.24 Bn |
| Sep 30, 2025 | 3.08 Bn |
| Jun 30, 2025 | 8.77 Bn |
| Mar 31, 2025 | 8.98 Bn |
| Dec 31, 2024 | 9.19 Bn |
| Sep 30, 2024 | 9.29 Bn |
| Jun 30, 2024 | 9.43 Bn |
| Mar 31, 2024 | 9.59 Bn |
| Dec 31, 2023 | 9.56 Bn |
| Sep 30, 2023 | 2.14 Bn |
| Jun 30, 2023 | 2.17 Bn |
| Mar 31, 2023 | 2.18 Bn |
| Dec 31, 2022 | 7.90 Bn |
| Sep 30, 2022 | 2.25 Bn |
| Jun 30, 2022 | 2.31 Bn |
| Mar 31, 2022 | 2.38 Bn |
| Dec 31, 2021 | 2.34 Bn |
EchoStar Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();