Telephone & Data Systems (TDS) Buildings (2010 - 2025)
Telephone & Data Systems (TDS) recorded Buildings of $134.41 million in Q4 2025, down 4.2% from $140.27 million a year earlier.
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Analysis
Telephone & Data Systems (TDS) Buildings (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Telephone & Data Systems' Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $140.27 million in FY2024 (-74.1%), $542 million in FY2023 (+1.9%), $532 million in FY2022 (-1.7%) and $541 million in FY2021 (+1.5%).
- The Q4 2025 figure is the lowest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - |
| 10 | Telephone & Data Systems | 4.00 Bn | -1.03 Bn | 179.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 134.41 Mn |
| Dec 31, 2024 | 140.27 Mn |
| Dec 31, 2023 | 542.00 Mn |
| Dec 31, 2022 | 532.00 Mn |
| Dec 31, 2021 | 541.00 Mn |
| Dec 31, 2020 | 533.00 Mn |
| Dec 31, 2019 | 527.00 Mn |
| Dec 31, 2018 | 523.00 Mn |
| Dec 31, 2017 | 519.00 Mn |
| Dec 31, 2016 | 511.00 Mn |
| Dec 31, 2015 | 506.49 Mn |
| Dec 31, 2014 | 480.03 Mn |
| Dec 31, 2013 | 453.07 Mn |
| Dec 31, 2012 | 489.03 Mn |
| Dec 31, 2011 | 466.81 Mn |
| Dec 31, 2010 | 416.14 Mn |
API Access
Telephone & Data Systems Buildings 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=buildings&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();