Telephone & Data Systems (TDS) Long-Term Debt Repayments (2009 - 2026)
Telephone & Data Systems (TDS) reported Long-Term Debt Repayments of $415,000 for Q2 2026, down 95.6% from $9.34 million a year earlier and down 99.7% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Telephone & Data Systems' Long-Term Debt Repayments came in at $2.1 billion; for FY2025, it came in at $1.96 billion, up 330.7% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 77.9% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $455.55 million in FY2024 (-37.0%), $723.3 million in FY2023 (+117.9%), $332 million in FY2022 (-84.0%) and $2.08 billion in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of $272,000 in Q4 2025 and a high of $1.94 billion in Q3 2025.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2023 (growth of 346.1%); the low point was Q4 2025 (a decline of 99.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $150.31 million (Q1 2026), $272,000 (Q4 2025) and $1.94 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.35 Bn | 158.69 Bn | 27.05 Bn | 3.30 Bn |
| 2 | T-Mobile US | 180.14 Bn | 162.57 Bn | 15.13 Bn | 1.70 Bn |
| 3 | At&T | 147.81 Bn | 89.27 Bn | 26.22 Bn | 5.28 Bn |
| 4 | Grupo Televisa, S.A.B | 145.45 Bn | 145.45 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.88 Bn | 52.67 Bn | - | 3.06 Bn |
| 6 | Chunghwa Telecom | 37.85 Bn | 29.87 Bn | 728.80 Mn | -23.30 Mn |
| 7 | Vodafone Group Public | 37.59 Bn | 6.99 Bn | - | - |
| 8 | EchoStar | 29.03 Bn | 10.06 Bn | 647.20 Mn | 6.39 Bn |
| 9 | Bce | 19.91 Bn | 17.91 Bn | 2.79 Bn | -5.22 Bn |
| 10 | Telephone & Data Systems | 3.80 Bn | -1.46 Bn | 179.96 Mn | 415,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 415,000.00 |
| Mar 31, 2026 | 150.31 Mn |
| Dec 31, 2025 | 272,000.00 |
| Sep 30, 2025 | 1.94 Bn |
| Jun 30, 2025 | 9.34 Mn |
| Mar 31, 2025 | 7.74 Mn |
| Dec 31, 2024 | 47.25 Mn |
| Sep 30, 2024 | 7.30 Mn |
| Jun 30, 2024 | 344.00 Mn |
| Mar 31, 2024 | 57.00 Mn |
| Dec 31, 2023 | 59.30 Mn |
| Sep 30, 2023 | 455.00 Mn |
| Jun 30, 2023 | 204.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 102.00 Mn |
| Jun 30, 2022 | 101.00 Mn |
| Mar 31, 2022 | 127.00 Mn |
| Dec 31, 2021 | 197.00 Mn |
| Sep 30, 2021 | 583.00 Mn |
API Access
Telephone & Data Systems Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();