Telephone & Data Systems (TDS) Cash & Equivalents (2009 - 2026)
Telephone & Data Systems (TDS) posted Cash & Equivalents of $2.19 billion for Q2 2026, up 306.3% from $540 million a year earlier and up 60.5% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Telephone & Data Systems' Cash & Equivalents came in at $765.95 million, up 110.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- In prior years, Telephone & Data Systems' Cash & Equivalents was $363.61 million in FY2024 (+54.1%), $236 million in FY2023 (-34.4%), $360 million in FY2022 (-1.9%) and $367 million in FY2021 (-74.3%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q2 2009.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last nine quarters, with growth averaging 131.8% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2026, with growth of 306.3%; the weakest was Q4 2021, with a decline of 74.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.37 billion (Q1 2026), $765.95 million (Q4 2025) and $932.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 182.83 Bn | 145.96 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 164.68 Bn | 149.43 Bn | 14.76 Bn | 2.83 Bn |
| 3 | Grupo Televisa, S.A.B | 147.96 Bn | 139.70 Bn | 318.12 Mn | 1.70 Bn |
| 4 | At&T | 147.26 Bn | 88.73 Bn | 26.22 Bn | 10.77 Bn |
| 5 | Comcast | 80.71 Bn | 46.51 Bn | - | 7.60 Bn |
| 6 | Vodafone Group Public | 37.55 Bn | 6.95 Bn | - | 10.31 Bn |
| 7 | Chunghwa Telecom | 37.30 Bn | 29.32 Bn | 728.80 Mn | 1.32 Bn |
| 8 | EchoStar | 25.57 Bn | 16.66 Bn | 1.65 Bn | 439.99 Mn |
| 9 | Telefonica Brasil | 20.56 Bn | 14.58 Bn | 1.42 Bn | 1.64 Bn |
| 10 | Telephone & Data Systems | 3.97 Bn | -1.29 Bn | 179.96 Mn | 2.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 765.95 Mn |
| Sep 30, 2025 | 932.99 Mn |
| Jun 30, 2025 | 540.00 Mn |
| Mar 31, 2025 | 348.00 Mn |
| Dec 31, 2024 | 363.61 Mn |
| Sep 30, 2024 | 451.00 Mn |
| Jun 30, 2024 | 322.00 Mn |
| Mar 31, 2024 | 249.00 Mn |
| Dec 31, 2023 | 236.00 Mn |
| Sep 30, 2023 | 256.00 Mn |
| Jun 30, 2023 | 251.00 Mn |
| Mar 31, 2023 | 259.00 Mn |
| Dec 31, 2022 | 360.00 Mn |
| Sep 30, 2022 | 442.00 Mn |
| Jun 30, 2022 | 466.00 Mn |
| Mar 31, 2022 | 549.00 Mn |
| Dec 31, 2021 | 367.00 Mn |
| Sep 30, 2021 | 725.00 Mn |
API Access
Telephone & Data Systems Cash & Equivalents 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=cash-and-equivalents&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();