Telephone & Data Systems (TDS) Cost of Revenue (2009 - 2026)
Telephone & Data Systems (TDS) posted Cost of Revenue of $129.33 million for Q2 2026, up 6.1% from $121.9 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Telephone & Data Systems was $511.34 million, down 3.6% year-over-year; for FY2025, it was $503.26 million, down 14.7% from FY2024.
- Annual Cost of Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -26.5% (FY2020 to FY2025).
- In prior years, Telephone & Data Systems' Cost of Revenue was $590.26 million in FY2024 (-14.3%), $688.72 million in FY2023 (-73.1%), $2.57 billion in FY2022 (+3.8%) and $2.47 billion in FY2021 (+5.0%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q4 2024.
- On a year-over-year basis, Cost of Revenue increased in two of the last seven quarters, with an average decline of 33.9%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2022, with growth of 15.4%; the weakest was Q2 2025, with a decline of 76.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $124.49 million (Q1 2026), $128.9 million (Q4 2025) and $128.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.43 Bn | 149.83 Bn | 27.03 Bn | 7.23 Bn |
| 2 | T-Mobile US | 157.50 Bn | 142.25 Bn | 14.76 Bn | 8.03 Bn |
| 3 | Grupo Televisa, S.A.B | 146.85 Bn | 139.14 Bn | 318.12 Mn | 502.80 Mn |
| 4 | At&T | 140.99 Bn | 98.44 Bn | 26.22 Bn | 6.10 Bn |
| 5 | Comcast | 80.32 Bn | 46.28 Bn | - | - |
| 6 | Vodafone Group Public | 38.29 Bn | 11.97 Bn | - | - |
| 7 | Chunghwa Telecom | 37.65 Bn | 30.15 Bn | 728.80 Mn | 1.21 Bn |
| 8 | EchoStar | 25.85 Bn | 16.98 Bn | 1.65 Bn | 1.93 Bn |
| 9 | Telefonica Brasil | 20.72 Bn | 14.74 Bn | 1.42 Bn | 1.70 Bn |
| 10 | Telephone & Data Systems | 4.07 Bn | -958.64 Mn | 179.96 Mn | 129.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.33 Mn |
| Mar 31, 2026 | 124.49 Mn |
| Dec 31, 2025 | 128.90 Mn |
| Sep 30, 2025 | 128.63 Mn |
| Jun 30, 2025 | 121.90 Mn |
| Mar 31, 2025 | 123.83 Mn |
| Dec 31, 2024 | 129.82 Mn |
| Sep 30, 2024 | 154.66 Mn |
| Jun 30, 2024 | 523.00 Mn |
| Mar 31, 2024 | 531.00 Mn |
| Dec 31, 2023 | -1.04 Bn |
| Sep 30, 2023 | 567.00 Mn |
| Jun 30, 2023 | 568.00 Mn |
| Mar 31, 2023 | 592.00 Mn |
| Dec 31, 2022 | 662.00 Mn |
| Sep 30, 2022 | 703.00 Mn |
| Jun 30, 2022 | 620.00 Mn |
| Mar 31, 2022 | 580.00 Mn |
| Dec 31, 2021 | 670.00 Mn |
| Sep 30, 2021 | 609.00 Mn |
API Access
Telephone & Data Systems Cost of 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=cost-of-revenue&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();