Gigamedia (GIGM) Tax Provisions (2009 - 2022)
Gigamedia's Tax Provisions was -$263,000 in the quarter ended Dec 31, 2022.
Analysis
Gigamedia (GIGM) Tax Provisions (2009 - 2022) Analysis & Trends
From the quarter ended Mar 31, 2009 onward, Gigamedia has reported Tax Provisions for 36 quarters.
- In earlier years, Tax Provisions was $1.67 million in the year ended Dec 31, 2018 (unchanged).
- The figure for the quarter ended Dec 31, 2022 marks the highest quarterly Tax Provisions since the quarter ended Dec 31, 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 26.56 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.91 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 667.17 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -1.89 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 273.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 840.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 610.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -898.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 203.41 Mn |
| 10 | Gigamedia | 15.14 Mn | -114.68 Mn | 1.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -263,000.00 |
| Dec 31, 2017 | 2.13 Mn |
| Sep 30, 2017 | -7,000.00 |
| Mar 31, 2017 | -456,000.00 |
| Dec 31, 2016 | -1.38 Mn |
| Sep 30, 2016 | 25,000.00 |
| Jun 30, 2016 | 2.96 Mn |
| Mar 31, 2016 | -456,000.00 |
| Dec 31, 2015 | 400,866.00 |
| Sep 30, 2015 | -125,000.00 |
| Jun 30, 2015 | 170,000.00 |
| Mar 31, 2015 | 13,351.00 |
| Dec 31, 2014 | 13.01 Mn |
| Sep 30, 2014 | 125,000.00 |
| Jun 30, 2014 | 60,849.00 |
| Mar 31, 2014 | -721,000.00 |
| Dec 31, 2013 | -76,099.00 |
| Sep 30, 2013 | -1.40 Mn |
| Jun 30, 2013 | -153,000.00 |
| Mar 31, 2013 | 16,570.00 |
API Access
Gigamedia Tax Provisions 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=tax-provisions&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();