Telephone & Data Systems (TDS) Operating Expenses (2009 - 2026)
Telephone & Data Systems' Operating Expenses came in at -$63.93 million for Q2 2026, compared with $310.85 million a year earlier.
Powered by 
Analysis
Telephone & Data Systems (TDS) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Telephone & Data Systems reported Operating Expenses of $792.08 million, down 43.1% year-over-year; for FY2025, it came in at $1.33 billion, down 10.9% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -23.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.49 billion in FY2024 (-27.0%), $2.04 billion in FY2023 (-61.5%), $5.29 billion in FY2022 (+4.4%) and $5.07 billion in FY2021 (+2.1%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2023.
- Year-over-year, Operating Expenses increased in 1 of the last six quarters, with an average decline of 44.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 12.7%), and the weakest in Q2 2025 (a decline of 74.1%).
- Business Quant data shows TDS's Operating Expenses at $165.63 million (Q1 2026), $313.88 million (Q4 2025) and $376.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.46 Bn | 158.80 Bn | 27.05 Bn | 25.66 Bn |
| 2 | T-Mobile US | 180.34 Bn | 162.78 Bn | 15.13 Bn | 17.92 Bn |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn | 28.23 Bn |
| 4 | Grupo Televisa, S.A.B | 145.14 Bn | 145.14 Bn | 960.50 Mn | 356.81 Mn |
| 5 | Comcast | 86.88 Bn | 52.67 Bn | - | 23.98 Bn |
| 6 | Chunghwa Telecom | 37.87 Bn | 29.88 Bn | 728.80 Mn | 309.31 Mn |
| 7 | Vodafone Group Public | 37.60 Bn | 7.00 Bn | - | -125.27 Mn |
| 8 | EchoStar | 29.01 Bn | 10.04 Bn | 647.20 Mn | 979.86 Mn |
| 9 | Bce | 19.96 Bn | 17.96 Bn | 2.79 Bn | 7.43 Bn |
| 10 | Telephone & Data Systems | 3.81 Bn | -1.45 Bn | 179.96 Mn | -63.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -63.93 Mn |
| Mar 31, 2026 | 165.63 Mn |
| Dec 31, 2025 | 313.88 Mn |
| Sep 30, 2025 | 376.50 Mn |
| Jun 30, 2025 | 310.85 Mn |
| Mar 31, 2025 | 324.37 Mn |
| Dec 31, 2024 | 278.47 Mn |
| Sep 30, 2024 | 477.23 Mn |
| Jun 30, 2024 | 1.20 Bn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | -1.70 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.27 Bn |
| Dec 31, 2022 | 1.38 Bn |
| Sep 30, 2022 | 1.40 Bn |
| Jun 30, 2022 | 1.29 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.26 Bn |
API Access
Telephone & Data Systems Operating Expenses 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=operating-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();