Telephone & Data Systems (TDS) Land & Improvements (2010 - 2017)
Telephone & Data Systems' Land & Improvements came in at $55 million for Q4 2017, up 1.9% from $54 million a year earlier.
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Analysis
Telephone & Data Systems (TDS) Land & Improvements (2010 - 2017) Analysis & Trends
Going back to Q4 2010, Telephone & Data Systems' Land & Improvements data covers 7 quarters.
- Land & Improvements carries a four-year compound annual growth rate of 2.9% (FY2013 to FY2017).
- Going back by year, Land & Improvements was $54 million in FY2016 (-1.0%), $54.57 million in FY2015 (+3.1%), $52.95 million in FY2014 (+7.9%) and $49.06 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 91.35 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, 2017 | 55.00 Mn |
| Dec 31, 2016 | 54.00 Mn |
| Dec 31, 2015 | 54.57 Mn |
| Dec 31, 2014 | 52.95 Mn |
| Dec 31, 2013 | 49.06 Mn |
| Dec 31, 2011 | 39.81 Mn |
| Dec 31, 2010 | 36.39 Mn |
API Access
Telephone & Data Systems Land & Improvements 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=land-and-improvements&ticker=TDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=TDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();