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.
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 | 190.70 Bn | 155.11 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | - |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | - |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 94.70 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | - |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | - |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | - |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | - |
| 10 | Telephone & Data Systems | 3.91 Bn | -1.12 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_KEY
import 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();