EchoStar (ECHO) Shares Outstanding (2009 - 2026)
EchoStar's Weighted Average Shares Outstanding was 290.72 million in Q3 2026, up 0.9% from 288.05 million a year earlier and up 0.2% from the prior quarter.
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Analysis
EchoStar (ECHO) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at EchoStar came in at 287.59 million, up 4.9% from FY2024.
- Weighted Average Shares Outstanding has now increased for three consecutive years, with a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 274.08 million in FY2024 (+1.2%), 270.84 million in FY2023 (+222.1%), 84.1 million in FY2022 (-6.5%) and 89.91 million in FY2021 (-8.2%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 13 straight quarters, with growth averaging 3.3% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q1 2024 (growth of 225.8%); the worst was Q1 2022 (a decline of 8.5%).
- Per Business Quant data, ECHO's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 290.14 million (Q2 2026), 289.01 million (Q1 2026) and 287.59 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | 62.70 Bn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 3.55 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 775.70 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 | 290.72 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 290.72 Mn |
| Jun 30, 2026 | 290.14 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 | 84.10 Mn |
| Sep 30, 2022 | 83.14 Mn |
| Jun 30, 2022 | 84.32 Mn |
| Mar 31, 2022 | 85.85 Mn |
| Dec 31, 2021 | 89.91 Mn |
API Access
EchoStar Shares Outstanding 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&ticker=ECHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();