Spok Holdings (SPOK) Land & Improvements (2010 - 2015)
Spok Holdings' Land & Improvements came in at $3.7 million for Q4 2015, up 0.4% from $3.68 million a year earlier.
Analysis
Spok Holdings (SPOK) Land & Improvements (2010 - 2015) Analysis & Trends
Going back to Q4 2010, Spok Holdings' Land & Improvements data covers 6 quarters.
- Land & Improvements has increased in each of the last three years, with a five-year compound annual growth rate of 1.4% (FY2010 to FY2015).
- Going back by year, Land & Improvements was $3.68 million in FY2014 (+14.2%), $3.23 million in FY2013 (+2.3%), $3.15 million in FY2012 (-1.3%) and $3.2 million in FY2011 (-7.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | Spok Holdings | 219.43 Mn | 139.10 Mn | 28.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 3.70 Mn |
| Dec 31, 2014 | 3.68 Mn |
| Dec 31, 2013 | 3.23 Mn |
| Dec 31, 2012 | 3.15 Mn |
| Dec 31, 2011 | 3.20 Mn |
| Dec 31, 2010 | 3.45 Mn |
API Access
Spok Holdings 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=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "SPOK", "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=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();