Telephone & Data Systems (TDS) Retained Earnings (2009 - 2026)
Telephone & Data Systems' Retained Earnings was $2.02 billion in Q2 2026, up 14.6% from $1.77 billion a year earlier and up 11.5% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Telephone & Data Systems came in at $1.69 billion, down 8.4% from FY2024.
- Retained Earnings has now declined for four consecutive years, with a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $1.85 billion in FY2024 (-8.6%), $2.02 billion in FY2023 (-25.0%), $2.7 billion in FY2022 (-4.0%) and $2.81 billion in FY2021 (+0.4%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings since Q4 2023.
- Compared with a year earlier, Retained Earnings was higher in 1 of the last eight quarters, with an average decline of 9.9%.
- The best year-over-year quarter for Retained Earnings over five years was Q2 2026 (growth of 14.6%); the worst was Q3 2025 (a decline of 30.2%).
- Per Business Quant data, TDS's Retained Earnings in the three quarters before Q2 2026 was $1.81 billion (Q1 2026), $1.69 billion (Q4 2025) and $1.3 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.52 Bn | 149.65 Bn | 27.03 Bn | 97.73 Bn |
| 2 | T-Mobile US | 173.29 Bn | 158.04 Bn | 14.76 Bn | 24.69 Bn |
| 3 | At&T | 163.18 Bn | 95.14 Bn | 25.82 Bn | 20.29 Bn |
| 4 | Grupo Televisa, S.A.B | 153.29 Bn | 145.03 Bn | 318.12 Mn | 5.86 Bn |
| 5 | Comcast | 79.35 Bn | 43.42 Bn | - | 60.30 Bn |
| 6 | Vodafone Group Public | 38.44 Bn | 7.84 Bn | - | -145.01 Bn |
| 7 | Chunghwa Telecom | 37.04 Bn | 29.05 Bn | 728.80 Mn | 17.37 Bn |
| 8 | EchoStar | 24.89 Bn | 15.98 Bn | 1.65 Bn | 5.44 Bn |
| 9 | Telefonica Brasil | 20.60 Bn | 14.62 Bn | 1.42 Bn | - |
| 10 | Telephone & Data Systems | 3.89 Bn | -1.37 Bn | 179.96 Mn | 2.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Bn |
| Mar 31, 2026 | 1.81 Bn |
| Dec 31, 2025 | 1.69 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 1.77 Bn |
| Mar 31, 2025 | 1.82 Bn |
| Dec 31, 2024 | 1.85 Bn |
| Sep 30, 2024 | 1.87 Bn |
| Jun 30, 2024 | 1.96 Bn |
| Mar 31, 2024 | 2.01 Bn |
| Dec 31, 2023 | 2.02 Bn |
| Sep 30, 2023 | 2.57 Bn |
| Jun 30, 2023 | 2.61 Bn |
| Mar 31, 2023 | 2.66 Bn |
| Dec 31, 2022 | 2.70 Bn |
| Sep 30, 2022 | 2.76 Bn |
| Jun 30, 2022 | 2.81 Bn |
| Mar 31, 2022 | 2.82 Bn |
| Dec 31, 2021 | 2.81 Bn |
| Sep 30, 2021 | 2.82 Bn |
API Access
Telephone & Data Systems Retained 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=retained-earnings&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();