Telephone & Data Systems (TDS) Shares Outstanding (Diluted) (2009 - 2026)
Telephone & Data Systems (TDS) posted Shares Outstanding (Diluted) of 116.29 million for Q2 2026, up 1.1% from 115 million a year earlier but down 0.3% from the prior quarter.
Telephone & Data Systems (TDS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Telephone & Data Systems' Shares Outstanding (Diluted) came in at 118.56 million, up 4.0% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Telephone & Data Systems' Shares Outstanding (Diluted) was 114 million in FY2024 (+0.9%), 113 million in FY2023 (-0.9%), 114 million in FY2022 (-1.7%) and 116 million in FY2021 (+0.9%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 113 million in Q1 2023 to a high of 118.84 million in Q3 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last five quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2025, with growth of 4.2%; the weakest was Q1 2023, with a decline of 2.6%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 116.65 million (Q1 2026), 118.56 million (Q4 2025) and 118.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.46 Bn | 158.80 Bn | 27.05 Bn | 4.17 Bn |
| 2 | T-Mobile US | 180.34 Bn | 162.78 Bn | 15.13 Bn | 1.07 Bn |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn | 6.84 Bn |
| 4 | Grupo Televisa, S.A.B | 145.14 Bn | 145.14 Bn | 960.50 Mn | 68.12 Bn |
| 5 | Comcast | 86.88 Bn | 52.67 Bn | - | 3.56 Bn |
| 6 | Chunghwa Telecom | 37.87 Bn | 29.88 Bn | 728.80 Mn | 777.60 Mn |
| 7 | Vodafone Group Public | 37.60 Bn | 7.00 Bn | - | 2.40 Bn |
| 8 | EchoStar | 29.01 Bn | 10.04 Bn | 647.20 Mn | 351.19 Mn |
| 9 | Bce | 19.96 Bn | 17.96 Bn | 2.79 Bn | 929.10 Mn |
| 10 | Telephone & Data Systems | 3.81 Bn | -1.45 Bn | 179.96 Mn | 116.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.29 Mn |
| Mar 31, 2026 | 116.65 Mn |
| Dec 31, 2025 | 118.56 Mn |
| Sep 30, 2025 | 118.84 Mn |
| Jun 30, 2025 | 115.00 Mn |
| Mar 31, 2025 | 115.00 Mn |
| Dec 31, 2024 | 114.00 Mn |
| Sep 30, 2024 | 114.00 Mn |
| Jun 30, 2024 | 114.00 Mn |
| Mar 31, 2024 | 117.00 Mn |
| Dec 31, 2023 | 113.00 Mn |
| Sep 30, 2023 | 113.00 Mn |
| Jun 30, 2023 | 113.00 Mn |
| Mar 31, 2023 | 113.00 Mn |
| Dec 31, 2022 | 114.00 Mn |
| Sep 30, 2022 | 114.00 Mn |
| Jun 30, 2022 | 116.00 Mn |
| Mar 31, 2022 | 116.00 Mn |
| Dec 31, 2021 | 116.00 Mn |
| Sep 30, 2021 | 116.00 Mn |
Telephone & Data Systems 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=TDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TDS", "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=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();