Motorola Solutions (MSI) Amortization - Intangibles (2009 - 2011)
Motorola Solutions' Amortization - Intangibles came in at $50 million for Q4 2011, down 2.0% from $51 million a year earlier and unchanged from the prior quarter.
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Analysis
Motorola Solutions (MSI) Amortization - Intangibles (2009 - 2011) Analysis & Trends
For FY2011, Motorola Solutions' Amortization - Intangibles was $200 million, down 1.5% from FY2010.
- Going back by year, Amortization - Intangibles was $203 million in FY2010 (-6.9%) and $218 million in FY2009.
- The five-year range for quarterly Amortization - Intangibles is $9 million (Q4 2009) to $51 million (Q4 2010).
- Business Quant data shows MSI's Amortization - Intangibles at $50 million (Q3 2011), $50 million (Q2 2011) and $50 million (Q1 2011) in the three quarters before Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 326.51 Bn | 280.28 Bn | 4.68 Bn |
| 2 | Rtx | 261.59 Bn | 233.07 Bn | 5.13 Bn |
| 3 | Boeing | 150.29 Bn | 56.98 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.11 Bn | 113.84 Bn | 2.45 Bn |
| 5 | General Dynamics | 92.96 Bn | 80.08 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 88.29 Bn | 83.89 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.82 Bn | 73.17 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 73.88 Bn | 63.12 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.03 Bn | 19.16 Bn | 3.65 Bn |
| 10 | TransDigm | 65.36 Bn | 53.37 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | 50.00 Mn |
| Oct 1, 2011 | 50.00 Mn |
| Jul 2, 2011 | 50.00 Mn |
| Apr 2, 2011 | 50.00 Mn |
| Dec 31, 2010 | 51.00 Mn |
| Oct 2, 2010 | 51.00 Mn |
| Jul 3, 2010 | 50.00 Mn |
| Apr 3, 2010 | 51.00 Mn |
| Dec 31, 2009 | 9.00 Mn |
| Oct 3, 2009 | 69.00 Mn |
| Jul 4, 2009 | 70.00 Mn |
API Access
Motorola Solutions 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=MSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "MSI", "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=MSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();