Gigamedia (GIGM) Goodwill (2009 - 2013)
Gigamedia's Goodwill came in at $16.63 million for the quarter ended Sep 30, 2013, down 43.4% from $29.39 million a year earlier but up 1.5% from the prior quarter.
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Analysis
Gigamedia (GIGM) Goodwill (2009 - 2013) Analysis & Trends
As of Dec 31, 2012, Gigamedia's Goodwill was $16.93 million, down 40.5% from the prior year.
- Goodwill has declined in each of the last three years, with a three-year compound annual growth rate of -27.5% (years ended Dec 2009 to Dec 2012).
- Going back by year, Goodwill was $28.44 million in the year ended Dec 31, 2011 (-28.0%), $39.49 million in the year ended Dec 31, 2010 (-11.1%) and $44.42 million in the year ended Dec 31, 2009.
- The five-year range for quarterly Goodwill is $16.39 million (the quarter ended Jun 30, 2013) to $87.61 million (the quarter ended Sep 30, 2009).
- Year-over-year, Goodwill has declined for 15 consecutive quarters, with an average decline of 34.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Goodwill ranged from 9.9% (the quarter ended Jun 30, 2011) to 49.2% (the quarter ended Jun 30, 2010).
- Business Quant data shows GIGM's Goodwill at $16.39 million (quarter ended Jun 30, 2013), $16.49 million (quarter ended Mar 31, 2013) and $16.93 million (quarter ended Dec 31, 2012) in the three quarters before the quarter ended Sep 30, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - |
| 10 | Gigamedia | 15.14 Mn | -138.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 16.63 Mn |
| Jun 30, 2013 | 16.39 Mn |
| Mar 31, 2013 | 16.49 Mn |
| Dec 31, 2012 | 16.93 Mn |
| Sep 30, 2012 | 29.39 Mn |
| Jun 30, 2012 | 28.82 Mn |
| Mar 31, 2012 | 29.18 Mn |
| Dec 31, 2011 | 28.44 Mn |
| Sep 30, 2011 | 38.18 Mn |
| Jun 30, 2011 | 39.90 Mn |
| Mar 31, 2011 | 39.22 Mn |
| Dec 31, 2010 | 39.49 Mn |
| Sep 30, 2010 | 45.46 Mn |
| Jun 30, 2010 | 44.28 Mn |
| Mar 31, 2010 | 44.58 Mn |
| Dec 31, 2009 | 44.42 Mn |
| Sep 30, 2009 | 87.61 Mn |
| Jun 30, 2009 | 87.09 Mn |
| Mar 31, 2009 | 86.24 Mn |
API Access
Gigamedia Goodwill 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=goodwill&ticker=GIGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "ticker": "GIGM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=goodwill&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();