Telephone & Data Systems (TDS) Asset Writedowns and Impairment (2012 - 2025)
Telephone & Data Systems' Asset Writedowns and Impairment came in at $900,000 for Q4 2025, down 18.4% from $1.1 million a year earlier and down 98.1% from the prior quarter.
Powered by 
Analysis
Telephone & Data Systems (TDS) Asset Writedowns and Impairment (2012 - 2025) Analysis & Trends
For FY2025, Telephone & Data Systems' Asset Writedowns and Impairment was $48.58 million, down 64.6% from FY2024.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of 153.0% (FY2022 to FY2025).
- Going back by year, Asset Writedowns and Impairment was $137.34 million in FY2024 (-74.9%), $546.95 million in FY2023 and $3 million in FY2022.
- The Q4 2025 figure represents the lowest quarterly Asset Writedowns and Impairment since Q2 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 192.46 Bn | 158.80 Bn | 27.05 Bn |
| 2 | T-Mobile US | 180.34 Bn | 162.78 Bn | 15.13 Bn |
| 3 | At&T | 148.15 Bn | 89.61 Bn | 26.22 Bn |
| 4 | Grupo Televisa, S.A.B | 145.14 Bn | 145.14 Bn | 960.50 Mn |
| 5 | Comcast | 86.88 Bn | 52.67 Bn | - |
| 6 | Chunghwa Telecom | 37.87 Bn | 29.88 Bn | 728.80 Mn |
| 7 | Vodafone Group Public | 37.60 Bn | 7.00 Bn | - |
| 8 | EchoStar | 29.01 Bn | 10.04 Bn | 647.20 Mn |
| 9 | Bce | 19.96 Bn | 17.96 Bn | 2.79 Bn |
| 10 | Telephone & Data Systems | 3.81 Bn | -1.45 Bn | 179.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 900,000.00 |
| Sep 30, 2025 | 47.68 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 136.23 Mn |
| Dec 31, 2023 | 546.95 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Sep 30, 2017 | 262.00 Mn |
| Dec 31, 2014 | 3.80 Mn |
| Sep 30, 2014 | 84.00 Mn |
| Jun 30, 2012 | 515,000.00 |
API Access
Telephone & Data Systems Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();