EchoStar (ECHO) Shares Outstanding (Diluted) (2009 - 2026)
EchoStar's Shares Outstanding (Diluted) came in at 351.62 million for Q2 2026, up 22.3% from 287.51 million a year earlier and up 21.7% from the prior quarter.
EchoStar (ECHO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, EchoStar's Shares Outstanding (Diluted) was 287.59 million, up 4.9% from FY2024.
- 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, 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 Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- Year-over-year, Shares Outstanding (Diluted) has increased for 12 consecutive quarters, with growth averaging 33.8% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2024 (growth of 225.8%), and the weakest in Q3 2021 (a decline of 9.7%).
- Business Quant data shows ECHO's Shares Outstanding (Diluted) at 289.01 million (Q1 2026), 287.59 million (Q4 2025) and 288.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 4.17 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 1.08 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 6.95 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | 68.12 Bn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 3.57 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | 2.40 Bn |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | 777.60 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 351.62 Mn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | 1.61 Bn |
| 10 | Bce | 18.89 Bn | 17.02 Bn | 3.38 Bn | 929.10 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 88.51 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();