Gigamedia (GIGM) Current Taxes (2009 - 2016)
Gigamedia (GIGM) recorded Current Taxes of $1.25 million in the quarter ended Dec 31, 2016, unchanged from $1.25 million a year earlier.
Analysis
Gigamedia (GIGM) Current Taxes (2009 - 2016) Analysis & Trends
Starting with the quarter ended Dec 31, 2009, Gigamedia's Current Taxes history includes 8 quarters.
- Annual Current Taxes has a five-year compound annual growth rate of -21.7% (years ended Dec 2011 to Dec 2016).
- Across earlier years, Current Taxes came in at $1.54 million in the year ended Dec 31, 2014 (-1.2%), $1.56 million in the year ended Dec 31, 2013 (+13.0%) and $1.38 million in the year ended Dec 31, 2012 (-67.5%).
- Quarterly Current Taxes has ranged from $1.25 million in the quarter ended Dec 31, 2015 to $1.56 million in the quarter ended Dec 31, 2013 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (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 | 1.36 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 1.25 Mn |
| Dec 31, 2015 | 1.25 Mn |
| Dec 31, 2014 | 1.54 Mn |
| Dec 31, 2013 | 1.56 Mn |
| Dec 31, 2012 | 1.38 Mn |
| Dec 31, 2011 | 1.72 Mn |
| Dec 31, 2010 | 1.68 Mn |
| Dec 31, 2009 | 1.22 Mn |
API Access
Gigamedia Current Taxes 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=current-taxes&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();