Telephone & Data Systems (TDS) Non-Current Debt (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) Non-Current Debt (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) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 187.14 Bn | 150.27 Bn | 27.03 Bn | 143.45 Bn |
| 2 | T-Mobile US | 173.64 Bn | 158.39 Bn | 14.76 Bn | 78.50 Bn |
| 3 | At&T | 163.56 Bn | 95.52 Bn | 25.82 Bn | 134.63 Bn |
| 4 | Grupo Televisa, S.A.B | 153.92 Bn | 145.65 Bn | 318.12 Mn | 4.62 Bn |
| 5 | Comcast | 79.44 Bn | 43.51 Bn | - | 84.26 Bn |
| 6 | Vodafone Group Public | 38.44 Bn | 7.84 Bn | - | 52.15 Bn |
| 7 | Chunghwa Telecom | 36.97 Bn | 28.99 Bn | 728.80 Mn | 50.21 Mn |
| 8 | EchoStar | 24.90 Bn | 15.99 Bn | 1.65 Bn | 15.99 Bn |
| 9 | Telefonica Brasil | 20.62 Bn | 14.64 Bn | 1.42 Bn | 29.48 Mn |
| 10 | Telephone & Data Systems | 3.89 Bn | -1.37 Bn | 179.96 Mn | 670.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 670.65 Mn |
| Mar 31, 2026 | 672.70 Mn |
| Dec 31, 2025 | 823.36 Mn |
| Sep 30, 2025 | 825.31 Mn |
| Jun 30, 2025 | 4.03 Bn |
| Mar 31, 2025 | 4.04 Bn |
| Dec 31, 2024 | 2.42 Bn |
| Sep 30, 2024 | 4.10 Bn |
| Jun 30, 2024 | 4.10 Bn |
| Mar 31, 2024 | 4.16 Bn |
| Dec 31, 2023 | 4.08 Bn |
| Sep 30, 2023 | 3.84 Bn |
| Jun 30, 2023 | 3.87 Bn |
| Mar 31, 2023 | 4.04 Bn |
| Dec 31, 2022 | 3.73 Bn |
| Sep 30, 2022 | 3.61 Bn |
| Jun 30, 2022 | 3.46 Bn |
| Mar 31, 2022 | 3.57 Bn |
| Dec 31, 2021 | 2.93 Bn |
| Sep 30, 2021 | 2.80 Bn |
Telephone & Data Systems Non-Current Debt 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();