Telephone & Data Systems (TDS) Other Accumulated Expenses (2009 - 2026)
Telephone & Data Systems' Other Accumulated Expenses came in at $54.39 million for Q2 2026, down 57.2% from $127 million a year earlier but up 40.0% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Telephone & Data Systems' Other Accumulated Expenses was $41.32 million, down 8.1% from FY2024.
- Other Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -16.4% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $44.98 million in FY2024 (-73.5%), $170 million in FY2023 (-52.2%), $356 million in FY2022 (+187.1%) and $124 million in FY2021 (+22.8%).
- The five-year range for quarterly Other Accumulated Expenses is $38.86 million (Q1 2026) to $356 million (Q4 2022).
- Year-over-year, Other Accumulated Expenses has declined for 12 consecutive quarters, with an average decline of 40.5% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q3 2022 (growth of 188.5%), and the weakest in Q4 2024 (a decline of 73.5%).
- Business Quant data shows TDS's Other Accumulated Expenses at $38.86 million (Q1 2026), $41.32 million (Q4 2025) and $39.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 185.25 Bn | 148.37 Bn | 27.03 Bn |
| 2 | T-Mobile US | 158.63 Bn | 143.38 Bn | 14.76 Bn |
| 3 | Grupo Televisa, S.A.B | 147.96 Bn | 139.70 Bn | 318.12 Mn |
| 4 | At&T | 143.36 Bn | 84.83 Bn | 26.22 Bn |
| 5 | Comcast | 80.87 Bn | 46.67 Bn | - |
| 6 | Vodafone Group Public | 37.85 Bn | 7.25 Bn | - |
| 7 | Chunghwa Telecom | 37.61 Bn | 29.62 Bn | 728.80 Mn |
| 8 | EchoStar | 25.86 Bn | 16.95 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.93 Bn | 14.95 Bn | 1.42 Bn |
| 10 | Telephone & Data Systems | 4.04 Bn | -1.22 Bn | 179.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.39 Mn |
| Mar 31, 2026 | 38.86 Mn |
| Dec 31, 2025 | 41.32 Mn |
| Sep 30, 2025 | 39.79 Mn |
| Jun 30, 2025 | 127.00 Mn |
| Mar 31, 2025 | 123.00 Mn |
| Dec 31, 2024 | 44.98 Mn |
| Sep 30, 2024 | 132.00 Mn |
| Jun 30, 2024 | 149.00 Mn |
| Mar 31, 2024 | 148.00 Mn |
| Dec 31, 2023 | 170.00 Mn |
| Sep 30, 2023 | 155.00 Mn |
| Jun 30, 2023 | 268.00 Mn |
| Mar 31, 2023 | 295.00 Mn |
| Dec 31, 2022 | 356.00 Mn |
| Sep 30, 2022 | 300.00 Mn |
| Jun 30, 2022 | 240.00 Mn |
| Mar 31, 2022 | 189.00 Mn |
| Dec 31, 2021 | 124.00 Mn |
| Sep 30, 2021 | 104.00 Mn |
API Access
Telephone & Data Systems Other Accumulated 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-accumulated-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();