Daktronics (DAKT) Amortizatization of Intangibles (2010 - 2016)
Daktronics' Amortizatization of Intangibles came in at $398,000 for fiscal Q1 2017 (quarter ended Jul 30, 2016), compared with $35,000 a year earlier and up 108.4% from the prior quarter.
Daktronics (DAKT) Amortizatization of Intangibles (2010 - 2016) Analysis & Trends
Over the trailing twelve months to Jul 30, 2016, Daktronics reported Amortizatization of Intangibles of $658,000, up 344.6% year-over-year; for FY2016 (ended Apr 30, 2016), it came in at $295,000, up 44.6% from FY2015.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 0.6% (FY2011 to FY2016).
- Going back by fiscal year, Amortizatization of Intangibles was $204,000 in FY2015 (-44.0%), $364,000 in FY2014 (+59.6%), $228,000 in FY2013 (-6.9%) and $245,000 in FY2012 (-14.6%).
- The fiscal Q1 2017 figure represents the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q1 2011.
- Year-over-year, Amortizatization of Intangibles increased in two of the last seven quarters, with growth averaging 25.9%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in fiscal Q4 2016 (growth of 445.7%), and the weakest in fiscal Q2 2015 (a decline of 71.6%).
- Business Quant data shows DAKT's Amortizatization of Intangibles at $191,000 (Q4 2016), $34,000 (Q3 2016) and $35,000 (Q2 2016) in the three fiscal quarters before Q1 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 148.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 76.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | - |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 16.00 Mn |
| 10 | Daktronics | 863.74 Mn | 283.49 Mn | 71.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 30, 2016 | 398,000.00 |
| Apr 30, 2016 | 191,000.00 |
| Jan 30, 2016 | 34,000.00 |
| Oct 31, 2015 | 35,000.00 |
| Aug 1, 2015 | 35,000.00 |
| May 2, 2015 | 35,000.00 |
| Jan 31, 2015 | 45,000.00 |
| Nov 1, 2014 | 33,000.00 |
| Aug 2, 2014 | 91,000.00 |
| Apr 26, 2014 | 90,000.00 |
| Jan 25, 2014 | 93,000.00 |
| Oct 26, 2013 | 116,000.00 |
| Jul 27, 2013 | 65,000.00 |
| Apr 27, 2013 | 57,000.00 |
| Jan 26, 2013 | 57,000.00 |
| Oct 27, 2012 | 57,000.00 |
| Jul 28, 2012 | 57,000.00 |
| Apr 28, 2012 | 56,000.00 |
| Jan 28, 2012 | 58,000.00 |
| Oct 29, 2011 | 64,000.00 |
Daktronics 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=DAKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "DAKT", "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=DAKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();