Gigamedia (GIGM) Notes Payables (2009 - 2017)
Gigamedia (GIGM) posted Notes Payables of $2.63 million for the quarter ended Jun 30, 2017, down 52.8% from $5.58 million a year earlier and down 0.3% from the prior quarter.
Gigamedia (GIGM) Notes Payables (2009 - 2017) Analysis & Trends
As of Dec 31, 2016, Gigamedia's Notes Payables came in at $2.48 million.
- Annual Notes Payables shows a five-year compound annual growth rate of -26.8% (years ended Dec 2011 to Dec 2016).
- In prior years, Gigamedia's Notes Payables was $18.64 million in the year ended Dec 31, 2014 (+327.4%), $4.36 million in the year ended Dec 31, 2013 (-43.7%) and $7.75 million in the year ended Dec 31, 2012 (-34.2%).
- Quarterly Notes Payables has run from a low of $2.48 million in the quarter ended Dec 31, 2016 to a high of $19.81 million in the quarter ended Mar 31, 2015 over five years.
- On a year-over-year basis, Notes Payables has declined in each of the last four quarters, with an average decline of 51.1% over the last eight quarters.
- The strongest year-over-year quarter for Notes Payables in the past five years was the quarter ended Mar 31, 2015, with growth of 364.3%; the weakest was the quarter ended Jun 30, 2015, with a decline of 77.0%.
- According to Business Quant data, Notes Payables for the three prior quarters was $2.64 million (quarter ended Mar 31, 2017), $2.48 million (quarter ended Dec 31, 2016) and $2.55 million (quarter ended Sep 30, 2016).
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 |
|---|---|
| Jun 30, 2017 | 2.63 Mn |
| Mar 31, 2017 | 2.64 Mn |
| Dec 31, 2016 | 2.48 Mn |
| Sep 30, 2016 | 2.55 Mn |
| Jun 30, 2016 | 5.58 Mn |
| Mar 31, 2016 | 6.21 Mn |
| Dec 31, 2015 | 6.09 Mn |
| Sep 30, 2015 | 5.78 Mn |
| Jun 30, 2015 | 4.54 Mn |
| Mar 31, 2015 | 19.81 Mn |
| Dec 31, 2014 | 18.64 Mn |
| Sep 30, 2014 | 19.40 Mn |
| Jun 30, 2014 | 19.76 Mn |
| Mar 31, 2014 | 4.27 Mn |
| Dec 31, 2013 | 4.36 Mn |
| Mar 31, 2013 | 7.54 Mn |
| Dec 31, 2012 | 7.75 Mn |
| Sep 30, 2012 | 7.68 Mn |
| Jun 30, 2012 | 9.35 Mn |
| Mar 31, 2012 | 10.14 Mn |
Gigamedia Notes Payables 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=notes-payables&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();