Gigamedia (GIGM) Land & Improvements (2009 - 2015)
Gigamedia (GIGM) recorded Land & Improvements of $1.1 million in the quarter ended Dec 31, 2015, down 3.6% from $1.14 million a year earlier.
Gigamedia (GIGM) Land & Improvements (2009 - 2015) Analysis & Trends
Starting with the quarter ended Dec 31, 2009, Gigamedia's Land & Improvements history includes 7 quarters.
- Annual Land & Improvements has declined for three straight years, with a five-year compound annual growth rate of -3.1% (years ended Dec 2010 to Dec 2015).
- Across earlier years, Land & Improvements came in at $1.14 million in the year ended Dec 31, 2014 (-5.8%), $1.21 million in the year ended Dec 31, 2013 (-2.6%), $1.24 million in the year ended Dec 31, 2012 (+0.5%) and $1.24 million in the year ended Dec 31, 2011 (-3.8%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | - |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | - |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | - |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | - |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | - |
| 10 | Gigamedia | 15.36 Mn | -108.95 Mn | 2.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 1.10 Mn |
| Dec 31, 2014 | 1.14 Mn |
| Dec 31, 2013 | 1.21 Mn |
| Dec 31, 2012 | 1.24 Mn |
| Dec 31, 2011 | 1.24 Mn |
| Dec 31, 2010 | 1.29 Mn |
| Dec 31, 2009 | 1.17 Mn |
Gigamedia Land & Improvements 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=land-and-improvements&ticker=GIGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();