Telephone & Data Systems (TDS) Price to Earnings (2010 - 2026)
Telephone & Data Systems' (TDS) Price to Earnings came in at 12.23 for Q2 2026, down 84.3% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2021, Telephone & Data Systems' Price to Earnings stood at 19.81, up 111.4% from FY2020.
- In prior years, Telephone & Data Systems' Price to Earnings was 9.37 in FY2020 (-61.2%), 24.17 in FY2019 (-12.0%), 27.48 in FY2018 (+36.2%) and 20.17 in FY2017 (-72.7%).
- The Q2 2026 figure stands as the lowest quarterly Price to Earnings since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 184.93 Bn | 148.06 Bn | 27.03 Bn |
| 2 | T-Mobile US | 164.38 Bn | 149.12 Bn | 14.76 Bn |
| 3 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn |
| 4 | At&T | 146.78 Bn | 88.25 Bn | 26.22 Bn |
| 5 | Comcast | 80.32 Bn | 46.11 Bn | - |
| 6 | Vodafone Group Public | 37.70 Bn | 7.09 Bn | - |
| 7 | Chunghwa Telecom | 37.53 Bn | 29.54 Bn | 728.80 Mn |
| 8 | EchoStar | 25.90 Bn | 16.98 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.61 Bn | 14.63 Bn | 1.42 Bn |
| 10 | Telephone & Data Systems | 3.98 Bn | -1.28 Bn | 179.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.23 |
| Mar 31, 2026 | 77.73 |
| Sep 30, 2022 | 32.34 |
| Jun 30, 2022 | 17.65 |
| Mar 31, 2022 | 20.88 |
| Dec 31, 2021 | 19.81 |
| Sep 30, 2021 | 18.84 |
| Jun 30, 2021 | 15.42 |
| Mar 31, 2021 | 12.23 |
| Dec 31, 2020 | 9.37 |
| Sep 30, 2020 | 9.43 |
| Jun 30, 2020 | 13.90 |
| Mar 31, 2020 | 14.59 |
| Dec 31, 2019 | 24.17 |
| Sep 30, 2019 | 23.34 |
| Jun 30, 2019 | 22.50 |
| Mar 31, 2019 | 22.75 |
| Dec 31, 2018 | 27.68 |
| Sep 30, 2018 | 8.49 |
| Jun 30, 2018 | 17.25 |
API Access
Telephone & Data Systems Price to Earnings 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=price-to-earnings&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();