Telephone & Data Systems (TDS) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Telephone & Data Systems (TDS) recorded Non-Current Debt of $670.65 million in Q2 2026, down 83.4% from $4.03 billion a year earlier and down 0.3% from the prior quarter.
Telephone & Data Systems (TDS) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, Telephone & Data Systems reported Non-Current Debt of $823.36 million, down 65.9% from FY2024.
- Annual Non-Current Debt has a five-year compound annual growth rate of -24.8% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $2.42 billion in FY2024 (-40.8%), $4.08 billion in FY2023 (+9.4%), $3.73 billion in FY2022 (+27.4%) and $2.93 billion in FY2021 (-14.5%).
- The Q2 2026 figure is the lowest quarterly Non-Current Debt in data going back to Q4 2009.
- On a year-over-year basis, Non-Current Debt has declined for seven consecutive quarters, with an average decline of 43.9% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 28.7% in Q3 2022, against a decline of 83.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $672.7 million (Q1 2026), $823.36 million (Q4 2025) and $825.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.46 Bn | 158.80 Bn | 27.05 Bn | 2.17 Bn |
| 2 | T-Mobile US | 180.34 Bn | 162.78 Bn | 15.13 Bn | -1.20 Bn |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn | 16.55 Bn |
| 4 | Grupo Televisa, S.A.B | 145.14 Bn | 145.14 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.88 Bn | 52.67 Bn | - | -3.06 Bn |
| 6 | Chunghwa Telecom | 37.87 Bn | 29.88 Bn | 728.80 Mn | 23.32 Mn |
| 7 | Vodafone Group Public | 37.60 Bn | 7.00 Bn | - | - |
| 8 | EchoStar | 29.01 Bn | 10.04 Bn | 647.20 Mn | -6.39 Bn |
| 9 | Bce | 19.96 Bn | 17.96 Bn | 2.79 Bn | 5.22 Bn |
| 10 | Telephone & Data Systems | 3.81 Bn | -1.45 Bn | 179.96 Mn | -415,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -415,000.00 |
| Mar 31, 2026 | -149.01 Mn |
| Dec 31, 2025 | -272,000.00 |
| Sep 30, 2025 | -1.62 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 | -44.00 Mn |
| Mar 31, 2024 | 83.00 Mn |
| Dec 31, 2023 | 240.68 Mn |
| Sep 30, 2023 | -65.00 Mn |
| Jun 30, 2023 | -129.00 Mn |
| Mar 31, 2023 | 311.00 Mn |
| Dec 31, 2022 | 125.00 Mn |
| Sep 30, 2022 | 149.00 Mn |
| Jun 30, 2022 | -101.00 Mn |
| Mar 31, 2022 | 649.00 Mn |
| Dec 31, 2021 | -72.00 Mn |
| Sep 30, 2021 | -357.00 Mn |
Telephone & Data Systems Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=TDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();