Td Synnex (SNX) Amortizatization of Intangibles (2010 - 2016)
Td Synnex (SNX) recorded Amortizatization of Intangibles of $13.01 million in fiscal Q3 2016 (quarter ended Aug 31, 2016), down 5.1% from $13.72 million a year earlier but up 10.3% from the prior quarter.
Td Synnex (SNX) Amortizatization of Intangibles (2010 - 2016) Analysis & Trends
On a TTM basis, Td Synnex's Amortizatization of Intangibles came in at $49.49 million as of Aug 31, 2016, down 15.4% year-over-year; for FY2015 (ended Nov 30, 2015), it came in at $54.76 million, down 0.7% from FY2014.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 60.8% (FY2010 to FY2015).
- Across earlier fiscal years, Amortizatization of Intangibles came in at $55.16 million in FY2014 (+593.6%), $7.95 million in FY2013 (-4.1%), $8.29 million in FY2012 (+9.3%) and $7.58 million in FY2011 (+48.8%).
- Quarterly Amortizatization of Intangibles has ranged from $1.95 million in fiscal Q1 2013 to $17.56 million in fiscal Q3 2014 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles has declined for six consecutive quarters, with growth averaging 98.4% over the last eight quarters.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 779.1% in fiscal Q3 2014, against a decline of 22.4% in fiscal Q4 2015 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $11.79 million (Q2 2016), $11.7 million (Q1 2016) and $12.99 million (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | - |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | - |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | - |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | - |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | - |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2016 | 13.01 Mn |
| May 31, 2016 | 11.79 Mn |
| Feb 29, 2016 | 11.70 Mn |
| Nov 30, 2015 | 12.99 Mn |
| Aug 31, 2015 | 13.72 Mn |
| May 31, 2015 | 13.46 Mn |
| Feb 28, 2015 | 14.59 Mn |
| Nov 30, 2014 | 16.73 Mn |
| Aug 31, 2014 | 17.56 Mn |
| May 31, 2014 | 15.17 Mn |
| Feb 28, 2014 | 5.70 Mn |
| Nov 30, 2013 | 2.03 Mn |
| Aug 31, 2013 | 2.00 Mn |
| May 31, 2013 | 1.97 Mn |
| Feb 28, 2013 | 1.95 Mn |
| Nov 30, 2012 | 2.08 Mn |
| Aug 31, 2012 | 2.06 Mn |
| May 31, 2012 | 2.07 Mn |
| Feb 29, 2012 | 2.08 Mn |
| Nov 30, 2011 | 2.00 Mn |
Td Synnex 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=SNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "SNX", "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=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();