Spok Holdings (SPOK) Amortization - Intangibles (2011 - 2013)
Spok Holdings (SPOK) reported Amortization - Intangibles of $1.25 million for Q2 2013, down 22.1% from $1.61 million a year earlier but up 0.6% from the prior quarter.
Powered by 
Analysis
Spok Holdings (SPOK) Amortization - Intangibles (2011 - 2013) Analysis & Trends
Over the twelve months ended Jun 30, 2013, Spok Holdings' Amortization - Intangibles came in at $5.75 million, down 7.9% year-over-year; for FY2012, it was $6.41 million, up 21.6% from FY2011.
- By year, Amortization - Intangibles came in at $5.27 million in FY2011 (+662.1%) and $692,000 in FY2010.
- Five-year quarterly Amortization - Intangibles spans a low of $1.24 million in Q1 2013 and a high of $1.63 million in Q4 2012.
- Year over year, Amortization - Intangibles gained in two of the last five quarters, with an average decline of 6.5%.
- Per Business Quant data, the three quarters before Q2 2013 came in at $1.24 million (Q1 2013), $1.63 million (Q4 2012) and $1.63 million (Q3 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Spok Holdings | 216.92 Mn | 136.59 Mn | 28.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 1.25 Mn |
| Mar 31, 2013 | 1.24 Mn |
| Dec 31, 2012 | 1.63 Mn |
| Sep 30, 2012 | 1.63 Mn |
| Jun 30, 2012 | 1.61 Mn |
| Mar 31, 2012 | 1.55 Mn |
| Dec 31, 2011 | 1.55 Mn |
| Sep 30, 2011 | 1.55 Mn |
| Jun 30, 2011 | 1.63 Mn |
API Access
Spok Holdings Amortization - Intangibles 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=amortization-intangibles&ticker=SPOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();