Telephone & Data Systems (TDS) Revenue (2009 - 2026)
Telephone & Data Systems (TDS) reported Revenue of $309.28 million for Q2 2026, up 3.6% from $298.54 million a year earlier but down 0.1% from the prior quarter.
Telephone & Data Systems (TDS) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Telephone & Data Systems' Revenue came in at $1.26 billion, up 3.8% year-over-year; for FY2025, it came in at $1.23 billion, down 5.3% from FY2024.
- Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -25.1% (FY2020 to FY2025).
- By year, Revenue came in at $1.3 billion in FY2024 (-4.3%), $1.36 billion in FY2023 (-75.0%), $5.41 billion in FY2022 (+1.6%) and $5.33 billion in FY2021 (+2.0%).
- Five-year quarterly Revenue spans a low of -$2.49 billion in Q4 2023 and a high of $1.39 billion in Q3 2022.
- Year over year, Revenue has now increased in each of the last three quarters, with an average decline of 30.1% over the last seven quarters.
- The high point for year-over-year Revenue in five years was Q4 2025 (growth of 12.0%); the low point was Q1 2025 (a decline of 77.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $309.45 million (Q1 2026), $330.71 million (Q4 2025) and $308.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 34.25 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 22.79 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 31.56 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 820.91 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 29.94 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 1.94 Bn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 3.58 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 31.52 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 4.46 Bn |
| 10 | Telephone & Data Systems | 3.91 Bn | -1.12 Bn | 179.96 Mn | 309.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 309.28 Mn |
| Mar 31, 2026 | 309.45 Mn |
| Dec 31, 2025 | 330.71 Mn |
| Sep 30, 2025 | 308.52 Mn |
| Jun 30, 2025 | 298.54 Mn |
| Mar 31, 2025 | 290.43 Mn |
| Dec 31, 2024 | 295.35 Mn |
| Sep 30, 2024 | 327.50 Mn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | -2.49 Bn |
| Sep 30, 2023 | 1.28 Bn |
| Jun 30, 2023 | 1.27 Bn |
| Mar 31, 2023 | 1.30 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Sep 30, 2022 | 1.39 Bn |
| Jun 30, 2022 | 1.35 Bn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.37 Bn |
| Sep 30, 2021 | 1.33 Bn |
Telephone & Data Systems Revenue 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=revenue&ticker=TDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();