Telephone & Data Systems (TDS) Receivables (2009 - 2026)
Telephone & Data Systems (TDS) recorded Receivables of $105.83 million in Q2 2026, down 89.5% from $1.01 billion a year earlier but up 2.9% from the prior quarter.
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Analysis
Telephone & Data Systems (TDS) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Telephone & Data Systems reported Receivables of $109.98 million, up 11.6% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of -37.0% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $98.55 million in FY2024 (-90.8%), $1.07 billion in FY2023 (-9.1%), $1.18 billion in FY2022 (+2.6%) and $1.15 billion in FY2021 (+3.5%).
- Quarterly Receivables has ranged from $97.74 million in Q3 2025 to $1.18 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Receivables rose in 1 of the last eight quarters, with an average decline of 45.3%.
- Peak year-over-year performance for Receivables in the last five years was growth of 11.6% in Q4 2025, against a decline of 90.8% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $102.88 million (Q1 2026), $109.98 million (Q4 2025) and $97.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 27.43 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 6.25 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 12.91 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 874.30 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 13.96 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 1.10 Bn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 905.61 Mn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 90.20 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | 3.41 Bn |
| 10 | Telephone & Data Systems | 4.00 Bn | -1.03 Bn | 179.96 Mn | 105.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.83 Mn |
| Mar 31, 2026 | 102.88 Mn |
| Dec 31, 2025 | 109.98 Mn |
| Sep 30, 2025 | 97.74 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 98.55 Mn |
| Sep 30, 2024 | 997.00 Mn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.07 Bn |
| Sep 30, 2023 | 1.08 Bn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 1.18 Bn |
| Jun 30, 2022 | 1.15 Bn |
| Mar 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 1.08 Bn |
API Access
Telephone & Data Systems Receivables 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=receivables&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();