Telephone & Data Systems (TDS) Other Operating Expenses (2009 - 2026)
Telephone & Data Systems (TDS) recorded Other Operating Expenses of -$175.41 million in Q2 2026, compared with $202.24 million a year earlier.
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Analysis
Telephone & Data Systems (TDS) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Telephone & Data Systems' Other Operating Expenses came in at $367.85 million as of Jun 30, 2026, down 60.6% year-over-year; for FY2025, it came in at $890.53 million, down 11.1% from FY2024.
- Annual Other Operating Expenses has declined for three straight years, with a five-year compound annual growth rate of -23.0% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $1 billion in FY2024 (-35.3%), $1.55 billion in FY2023 (-56.0%), $3.52 billion in FY2022 (+3.9%) and $3.39 billion in FY2021 (+3.2%).
- The Q2 2026 figure is the lowest quarterly Other Operating Expenses since Q4 2023.
- On a year-over-year basis, Other Operating Expenses rose in 1 of the last six quarters, with an average decline of 44.5%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 29.3% in Q4 2025, against a decline of 73.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $62.92 million (Q1 2026), $210.03 million (Q4 2025) and $270.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn |
| 10 | Telephone & Data Systems | 3.79 Bn | -1.47 Bn | 179.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -175.41 Mn |
| Mar 31, 2026 | 62.92 Mn |
| Dec 31, 2025 | 210.03 Mn |
| Sep 30, 2025 | 270.31 Mn |
| Jun 30, 2025 | 202.24 Mn |
| Mar 31, 2025 | 207.95 Mn |
| Dec 31, 2024 | 162.47 Mn |
| Sep 30, 2024 | 360.67 Mn |
| Jun 30, 2024 | 773.00 Mn |
| Mar 31, 2024 | 771.00 Mn |
| Dec 31, 2023 | -881.16 Mn |
| Sep 30, 2023 | 798.00 Mn |
| Jun 30, 2023 | 798.00 Mn |
| Mar 31, 2023 | 835.00 Mn |
| Dec 31, 2022 | 914.00 Mn |
| Sep 30, 2022 | 941.00 Mn |
| Jun 30, 2022 | 859.00 Mn |
| Mar 31, 2022 | 810.00 Mn |
| Dec 31, 2021 | 903.00 Mn |
| Sep 30, 2021 | 830.00 Mn |
API Access
Telephone & Data Systems Other 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=other-operating-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();