Fair Isaac (FICO) Amortizatization of Intangibles (2013 - 2018)
Fair Isaac (FICO) posted Amortizatization of Intangibles of $600,000 for fiscal Q3 2018 (quarter ended Jun 30, 2018), down 64.7% from $1.7 million a year earlier and unchanged from the prior quarter.
Fair Isaac (FICO) Amortizatization of Intangibles (2013 - 2018) Analysis & Trends
For the trailing twelve months through Jun 30, 2018, Amortizatization of Intangibles at Fair Isaac was $3.6 million, down 48.6% year-over-year.
- Quarterly Amortizatization of Intangibles has run from a low of $600,000 in fiscal Q2 2018 to a high of $1.9 million in fiscal Q3 2015 over five years.
- On a year-over-year basis, Amortizatization of Intangibles has declined in each of the last three quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 202.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | - |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 164.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Fair Isaac | 18.16 Bn | 17.40 Bn | 587.17 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 600,000.00 |
| Mar 31, 2018 | 600,000.00 |
| Dec 31, 2017 | 700,000.00 |
| Jun 30, 2017 | 1.70 Mn |
| Mar 31, 2017 | 1.70 Mn |
| Dec 31, 2016 | 1.70 Mn |
| Jun 30, 2015 | 1.90 Mn |
| Mar 31, 2015 | 1.90 Mn |
| Dec 31, 2014 | 1.80 Mn |
| Jun 30, 2014 | 1.90 Mn |
| Mar 31, 2014 | 1.80 Mn |
| Dec 31, 2013 | 1.80 Mn |
Fair Isaac Amortizatization of 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=amortizatization-of-intangibles&ticker=FICO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "FICO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=FICO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();