Telephone & Data Systems (TDS) Total Non-Current Liabilities (2009 - 2026)
Telephone & Data Systems' Total Non-Current Liabilities came in at $2.43 billion for Q2 2026, up 57.3% from $1.54 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Telephone & Data Systems' Total Non-Current Liabilities was $1.57 billion, down 4.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.64 billion in FY2024 (+41.5%), $1.16 billion in FY2023 (-7.4%), $1.25 billion in FY2022 (-0.9%) and $1.26 billion in FY2021 (+12.1%).
- The five-year range for quarterly Total Non-Current Liabilities is $1.16 billion (Q4 2023) to $7.15 billion (Q1 2023).
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 6.9%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 71.5%), and the weakest in Q1 2025 (a decline of 80.5%).
- Business Quant data shows TDS's Total Non-Current Liabilities at $2.36 billion (Q1 2026), $1.57 billion (Q4 2025) and $2.67 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 183.89 Bn | 147.02 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 168.85 Bn | 153.60 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 161.17 Bn | 93.13 Bn | 25.82 Bn | 165.71 Bn |
| 4 | Grupo Televisa, S.A.B | 153.29 Bn | 145.03 Bn | 318.12 Mn | 5.55 Bn |
| 5 | Comcast | 78.05 Bn | 42.12 Bn | - | 146.48 Bn |
| 6 | Vodafone Group Public | 38.16 Bn | 7.56 Bn | - | 59.09 Bn |
| 7 | Chunghwa Telecom | 36.97 Bn | 28.98 Bn | 728.80 Mn | 18.48 Mn |
| 8 | EchoStar | 25.03 Bn | 16.12 Bn | 1.65 Bn | 21.41 Bn |
| 9 | Telefonica Brasil | 20.37 Bn | 14.39 Bn | 1.42 Bn | 187.58 Mn |
| 10 | Telephone & Data Systems | 3.79 Bn | -1.47 Bn | 179.96 Mn | 2.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Bn |
| Mar 31, 2026 | 2.36 Bn |
| Dec 31, 2025 | 2.56 Bn |
| Sep 30, 2025 | 2.67 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 7.35 Bn |
| Sep 30, 2024 | 7.04 Bn |
| Jun 30, 2024 | 7.10 Bn |
| Mar 31, 2024 | 7.08 Bn |
| Dec 31, 2023 | 7.14 Bn |
| Sep 30, 2023 | 7.08 Bn |
| Jun 30, 2023 | 7.05 Bn |
| Mar 31, 2023 | 7.15 Bn |
| Dec 31, 2022 | 7.13 Bn |
| Sep 30, 2022 | 6.92 Bn |
| Jun 30, 2022 | 6.62 Bn |
| Mar 31, 2022 | 6.59 Bn |
| Dec 31, 2021 | 6.00 Bn |
| Sep 30, 2021 | 5.97 Bn |
API Access
Telephone & Data Systems Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();