Telephone & Data Systems (TDS) Capital Expenditures (2009 - 2026)
Telephone & Data Systems (TDS) posted Capital Expenditures of $168.88 million for Q2 2026, up 96.2% from $86.09 million a year earlier and up 13.3% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Telephone & Data Systems was $557.97 million, up 759.4% year-over-year; for FY2025, it was $390.53 million, up 6.9% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -21.8% (FY2020 to FY2025).
- In prior years, Telephone & Data Systems' Capital Expenditures was $365.45 million in FY2024 (-43.2%), $643.07 million in FY2023 (-44.6%), $1.16 billion in FY2022 (+2.7%) and $1.13 billion in FY2021 (-15.5%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q2 2024.
- On a year-over-year basis, Capital Expenditures has increased in each of the last three quarters, with growth averaging 25.7% over the last five quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2026, with growth of 131.5%; the weakest was Q1 2025, with a decline of 72.6%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $149.04 million (Q1 2026), $128.47 million (Q4 2025) and $111.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.46 Bn | 158.80 Bn | 27.05 Bn | 3.72 Bn |
| 2 | T-Mobile US | 180.34 Bn | 162.78 Bn | 15.13 Bn | 2.27 Bn |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn | 5.06 Bn |
| 4 | Grupo Televisa, S.A.B | 145.14 Bn | 145.14 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.88 Bn | 52.67 Bn | - | 3.06 Bn |
| 6 | Chunghwa Telecom | 37.87 Bn | 29.88 Bn | 728.80 Mn | -167.60 Mn |
| 7 | Vodafone Group Public | 37.60 Bn | 7.00 Bn | - | - |
| 8 | EchoStar | 29.01 Bn | 10.04 Bn | 647.20 Mn | 64.97 Mn |
| 9 | Bce | 19.96 Bn | 17.96 Bn | 2.79 Bn | -2.32 Bn |
| 10 | Telephone & Data Systems | 3.81 Bn | -1.45 Bn | 179.96 Mn | 168.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.88 Mn |
| Mar 31, 2026 | 149.04 Mn |
| Dec 31, 2025 | 128.47 Mn |
| Sep 30, 2025 | 111.58 Mn |
| Jun 30, 2025 | 86.09 Mn |
| Mar 31, 2025 | 64.39 Mn |
| Dec 31, 2024 | 96.25 Mn |
| Sep 30, 2024 | -181.80 Mn |
| Jun 30, 2024 | 216.00 Mn |
| Mar 31, 2024 | 235.00 Mn |
| Dec 31, 2023 | -262.94 Mn |
| Sep 30, 2023 | 277.00 Mn |
| Jun 30, 2023 | 298.00 Mn |
| Mar 31, 2023 | 331.00 Mn |
| Dec 31, 2022 | 367.00 Mn |
| Sep 30, 2022 | 268.00 Mn |
| Jun 30, 2022 | 255.00 Mn |
| Mar 31, 2022 | 271.00 Mn |
| Dec 31, 2021 | 405.00 Mn |
| Sep 30, 2021 | 269.00 Mn |
API Access
Telephone & Data Systems Capital Expenditures 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=capital-expenditures&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();