Telephone & Data Systems (TDS) Total Liabilities (2009 - 2026)
Telephone & Data Systems (TDS) posted Total Liabilities of $2.98 billion for Q2 2026, up 26.4% from $2.36 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Telephone & Data Systems' Total Liabilities came in at $3.13 billion, down 59.9% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -14.7% (FY2020 to FY2025).
- In prior years, Telephone & Data Systems' Total Liabilities was $7.81 billion in FY2024 (-1.4%), $7.93 billion in FY2023 (-0.3%), $7.95 billion in FY2022 (+17.6%) and $6.76 billion in FY2021 (-2.5%).
- Quarterly Total Liabilities has run from a low of $2.19 billion in Q1 2025 to a high of $7.96 billion in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 25.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 34.9%; the weakest was Q1 2025, with a decline of 72.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.95 billion (Q1 2026), $3.13 billion (Q4 2025) and $3.25 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 183.89 Bn | 147.02 Bn | 27.03 Bn | 304.99 Bn |
| 2 | T-Mobile US | 168.85 Bn | 153.60 Bn | 14.76 Bn | 157.29 Bn |
| 3 | At&T | 161.17 Bn | 93.13 Bn | 25.82 Bn | 301.93 Bn |
| 4 | Grupo Televisa, S.A.B | 153.29 Bn | 145.03 Bn | 318.12 Mn | 7.11 Bn |
| 5 | Comcast | 78.05 Bn | 42.12 Bn | - | 167.78 Bn |
| 6 | Vodafone Group Public | 38.16 Bn | 7.56 Bn | - | 90.86 Bn |
| 7 | Chunghwa Telecom | 36.97 Bn | 28.98 Bn | 728.80 Mn | 5.90 Bn |
| 8 | EchoStar | 25.03 Bn | 16.12 Bn | 1.65 Bn | 25.22 Bn |
| 9 | Telefonica Brasil | 20.37 Bn | 14.39 Bn | 1.42 Bn | - |
| 10 | Telephone & Data Systems | 3.79 Bn | -1.47 Bn | 179.96 Mn | 2.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.98 Bn |
| Mar 31, 2026 | 2.95 Bn |
| Dec 31, 2025 | 3.13 Bn |
| Sep 30, 2025 | 3.25 Bn |
| Jun 30, 2025 | 2.36 Bn |
| Mar 31, 2025 | 2.19 Bn |
| Dec 31, 2024 | 7.81 Bn |
| Sep 30, 2024 | 7.85 Bn |
| Jun 30, 2024 | 7.89 Bn |
| Mar 31, 2024 | 7.86 Bn |
| Dec 31, 2023 | 7.93 Bn |
| Sep 30, 2023 | 7.90 Bn |
| Jun 30, 2023 | 7.87 Bn |
| Mar 31, 2023 | 7.96 Bn |
| Dec 31, 2022 | 7.95 Bn |
| Sep 30, 2022 | 7.79 Bn |
| Jun 30, 2022 | 7.50 Bn |
| Mar 31, 2022 | 7.36 Bn |
| Dec 31, 2021 | 6.76 Bn |
| Sep 30, 2021 | 6.72 Bn |
API Access
Telephone & Data Systems Total 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-liabilities&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();