EchoStar (ECHO) Shares Outstanding (Diluted) (2009 - 2026)
EchoStar's Weighted Average Shares Outstanding (Diluted) came in at 351.19 million for Q3 2026, up 21.9% from 288.05 million a year earlier but down 0.1% from the prior quarter.
EchoStar (ECHO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, EchoStar's Weighted Average Shares Outstanding (Diluted) was 287.59 million, up 4.9% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 274.08 million in FY2024 (+1.2%), 270.84 million in FY2023 (+222.0%), 84.12 million in FY2022 (-6.5%) and 89.94 million in FY2021 (-8.1%).
- The five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 83.14 million (Q3 2022) to 351.62 million (Q2 2026).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 13 consecutive quarters, with growth averaging 8.6% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2024 (growth of 225.8%), and the weakest in Q1 2022 (a decline of 8.5%).
- Business Quant data shows ECHO's Weighted Average Shares Outstanding (Diluted) at 351.62 million (Q2 2026), 289.01 million (Q1 2026) and 287.59 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 4.17 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 1.07 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 6.84 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | 68.12 Bn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 3.56 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 777.60 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | 2.40 Bn |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 351.19 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 929.10 Mn |
| 10 | Telefonica Brasil | 18.40 Bn | 12.42 Bn | 1.42 Bn | 1.61 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 351.19 Mn |
| Jun 30, 2026 | 351.62 Mn |
| Mar 31, 2026 | 289.01 Mn |
| Dec 31, 2025 | 287.59 Mn |
| Sep 30, 2025 | 288.05 Mn |
| Jun 30, 2025 | 287.51 Mn |
| Mar 31, 2025 | 286.51 Mn |
| Dec 31, 2024 | 274.08 Mn |
| Sep 30, 2024 | 271.74 Mn |
| Jun 30, 2024 | 271.59 Mn |
| Mar 31, 2024 | 271.52 Mn |
| Dec 31, 2023 | 270.84 Mn |
| Sep 30, 2023 | 83.85 Mn |
| Jun 30, 2023 | 83.77 Mn |
| Mar 31, 2023 | 83.33 Mn |
| Dec 31, 2022 | 84.12 Mn |
| Sep 30, 2022 | 83.14 Mn |
| Jun 30, 2022 | 84.32 Mn |
| Mar 31, 2022 | 85.88 Mn |
| Dec 31, 2021 | 89.94 Mn |
EchoStar Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();