Telephone & Data Systems (TDS) Accounts Payables (2009 - 2026)
Telephone & Data Systems' Accounts Payables was $130.31 million in Q2 2026, down 51.4% from $268 million a year earlier but up 34.3% from the prior quarter.
Powered by 
Analysis
Telephone & Data Systems (TDS) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Telephone & Data Systems came in at $115.82 million, up 54.7% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of -25.6% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $74.87 million in FY2024 (-79.2%), $360 million in FY2023 (-28.9%), $506 million in FY2022 (+5.2%) and $481 million in FY2021 (-5.3%).
- Quarterly Accounts Payables has moved between $74.87 million (Q4 2024) and $550 million (Q3 2023) over five years.
- Compared with a year earlier, Accounts Payables was higher in 1 of the last eight quarters, with an average decline of 34.5%.
- The best year-over-year quarter for Accounts Payables over five years was Q4 2025 (growth of 54.7%); the worst was Q4 2024 (a decline of 79.2%).
- Per Business Quant data, TDS's Accounts Payables in the three quarters before Q2 2026 was $97.07 million (Q1 2026), $115.82 million (Q4 2025) and $121 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 183.89 Bn | 147.02 Bn | 27.03 Bn | 20.42 Bn |
| 2 | T-Mobile US | 168.85 Bn | 153.60 Bn | 14.76 Bn | 8.77 Bn |
| 3 | At&T | 161.17 Bn | 93.13 Bn | 25.82 Bn | 38.05 Bn |
| 4 | Grupo Televisa, S.A.B | 153.29 Bn | 145.03 Bn | 318.12 Mn | 877.85 Mn |
| 5 | Comcast | 78.05 Bn | 42.12 Bn | - | 11.86 Bn |
| 6 | Vodafone Group Public | 38.16 Bn | 7.56 Bn | - | 17.85 Bn |
| 7 | Chunghwa Telecom | 36.97 Bn | 28.98 Bn | 728.80 Mn | 359.66 Mn |
| 8 | EchoStar | 25.03 Bn | 16.12 Bn | 1.65 Bn | 251.88 Mn |
| 9 | Telefonica Brasil | 20.37 Bn | 14.39 Bn | 1.42 Bn | 1.93 Bn |
| 10 | Telephone & Data Systems | 3.79 Bn | -1.47 Bn | 179.96 Mn | 130.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.31 Mn |
| Mar 31, 2026 | 97.07 Mn |
| Dec 31, 2025 | 115.82 Mn |
| Sep 30, 2025 | 121.00 Mn |
| Jun 30, 2025 | 268.00 Mn |
| Mar 31, 2025 | 247.00 Mn |
| Dec 31, 2024 | 74.87 Mn |
| Sep 30, 2024 | 334.00 Mn |
| Jun 30, 2024 | 327.00 Mn |
| Mar 31, 2024 | 302.00 Mn |
| Dec 31, 2023 | 360.00 Mn |
| Sep 30, 2023 | 550.00 Mn |
| Jun 30, 2023 | 364.00 Mn |
| Mar 31, 2023 | 344.00 Mn |
| Dec 31, 2022 | 506.00 Mn |
| Sep 30, 2022 | 506.00 Mn |
| Jun 30, 2022 | 443.00 Mn |
| Mar 31, 2022 | 388.00 Mn |
| Dec 31, 2021 | 481.00 Mn |
| Sep 30, 2021 | 466.00 Mn |
API Access
Telephone & Data Systems Accounts Payables 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=accounts-payables&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();