Powell Industries (POWL) Amortizatization of Intangibles (2010 - 2018)
Powell Industries (POWL) reported Amortizatization of Intangibles of $44,000 for fiscal Q4 2018 (quarter ended Sep 30, 2018), down 52.2% from $92,000 a year earlier and unchanged from the prior quarter.
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Analysis
Powell Industries (POWL) Amortizatization of Intangibles (2010 - 2018) Analysis & Trends
For FY2018 (ended Sep 30, 2018), Powell Industries posted Amortizatization of Intangibles of $205,000, down 42.3% from FY2017.
- Amortizatization of Intangibles has a five-year compound annual growth rate of -34.3% (FY2013 to FY2018).
- By fiscal year, Amortizatization of Intangibles came in at $355,000 in FY2017 (+0.9%), $352,000 in FY2016 (-19.1%), $435,000 in FY2015 (-44.2%) and $779,000 in FY2014 (-53.4%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $44,000 in fiscal Q2 2018 and a high of $416,000 in fiscal Q1 2014.
- Year over year, Amortizatization of Intangibles has now declined in each of the last four quarters, with an average decline of 20.6% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was fiscal Q4 2017 (growth of 3.4%); the low point was fiscal Q1 2015 (a decline of 71.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2018 came in at $44,000 (Q3 2018), $44,000 (Q2 2018) and $73,000 (Q1 2018).
Peer Set
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 | Powell Industries | 7.14 Bn | 4.99 Bn | 95.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 44,000.00 |
| Jun 30, 2018 | 44,000.00 |
| Mar 31, 2018 | 44,000.00 |
| Dec 31, 2017 | 73,000.00 |
| Sep 30, 2017 | 92,000.00 |
| Jun 30, 2017 | 87,000.00 |
| Mar 31, 2017 | 88,000.00 |
| Dec 31, 2016 | 88,000.00 |
| Sep 30, 2016 | 89,000.00 |
| Jun 30, 2016 | 89,000.00 |
| Mar 31, 2016 | 86,000.00 |
| Dec 31, 2015 | 88,000.00 |
| Sep 30, 2015 | 90,000.00 |
| Jun 30, 2015 | 113,000.00 |
| Mar 31, 2015 | 114,000.00 |
| Dec 31, 2014 | 118,000.00 |
| Sep 30, 2014 | 121,000.00 |
| Jun 30, 2014 | 122,000.00 |
| Mar 31, 2014 | 120,000.00 |
| Dec 31, 2013 | 416,000.00 |
API Access
Powell Industries 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=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "POWL", "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=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();