Telephone & Data Systems (TDS) Interest Expenses (2009 - 2026)
Telephone & Data Systems (TDS) reported Interest Expenses of $11.39 million for Q2 2026, down 61.0% from $29.17 million a year earlier but up 114.0% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Telephone & Data Systems' Interest Expenses came in at $76.3 million, down 33.9% year-over-year; for FY2025, it came in at $112.67 million, up 3.8% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- By year, Interest Expenses came in at $108.58 million in FY2024 (+74.6%), $62.18 million in FY2023 (-64.3%), $174 million in FY2022 (-25.0%) and $232 million in FY2021 (+38.1%).
- Five-year quarterly Interest Expenses spans a low of -$115.82 million in Q4 2023 and a high of $73 million in Q2 2024.
- Year over year, Interest Expenses has now declined in each of the last three quarters, with an average decline of 45.4% over the last seven quarters.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 60.6%); the low point was Q1 2026 (a decline of 77.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.32 million (Q1 2026), $12.32 million (Q4 2025) and $47.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.56 Bn | 148.69 Bn | 27.03 Bn | 1.99 Bn |
| 2 | T-Mobile US | 170.87 Bn | 155.62 Bn | 14.76 Bn | - |
| 3 | At&T | 163.18 Bn | 95.14 Bn | 25.82 Bn | 1.88 Bn |
| 4 | Grupo Televisa, S.A.B | 150.47 Bn | 142.20 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 79.14 Bn | 43.20 Bn | - | 1.05 Bn |
| 6 | Vodafone Group Public | 38.27 Bn | 7.67 Bn | - | - |
| 7 | Chunghwa Telecom | 37.03 Bn | 29.04 Bn | 728.80 Mn | -3.33 Mn |
| 8 | EchoStar | 25.03 Bn | 16.12 Bn | 1.65 Bn | - |
| 9 | Telefonica Brasil | 20.75 Bn | 14.77 Bn | 1.42 Bn | -141.00 Mn |
| 10 | Telephone & Data Systems | 3.89 Bn | -1.37 Bn | 179.96 Mn | 11.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.39 Mn |
| Mar 31, 2026 | 5.32 Mn |
| Dec 31, 2025 | 12.32 Mn |
| Sep 30, 2025 | 47.28 Mn |
| Jun 30, 2025 | 29.17 Mn |
| Mar 31, 2025 | 23.91 Mn |
| Dec 31, 2024 | 29.66 Mn |
| Sep 30, 2024 | 32.69 Mn |
| Jun 30, 2024 | 73.00 Mn |
| Mar 31, 2024 | 57.00 Mn |
| Dec 31, 2023 | -115.82 Mn |
| Sep 30, 2023 | 62.00 Mn |
| Jun 30, 2023 | 62.00 Mn |
| Mar 31, 2023 | 53.00 Mn |
| Dec 31, 2022 | 56.00 Mn |
| Sep 30, 2022 | 46.00 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 33.00 Mn |
| Dec 31, 2021 | 39.00 Mn |
| Sep 30, 2021 | 54.00 Mn |
API Access
Telephone & Data Systems Interest 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=interest-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();