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.
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 $100.97 million (the quarter ended Dec 31, 2010).
- Year-over-year, Goodwill has declined for 11 consecutive quarters, with an average decline of 36.4% over the last eight quarters.
- The fastest year-over-year change in Goodwill over five years came in the quarter ended Dec 31, 2010 (growth of 127.3%), and the weakest in the quarter ended Dec 31, 2011 (a decline of 82.9%).
- 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Gigamedia | 14.70 Mn | -115.12 Mn | 1.24 Mn |
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 | 17.27 Mn |
| Sep 30, 2011 | 38.18 Mn |
| Jun 30, 2011 | 39.90 Mn |
| Mar 31, 2011 | 39.22 Mn |
| Dec 31, 2010 | 100.97 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 |
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_KEY
import 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();