Electronic Arts (EA) Buildings (2009 - 2012)
Electronic Arts (EA) posted Buildings of $334 million for fiscal Q1 2013 (quarter ended Jun 30, 2012), down 6.2% from $356 million a year earlier and down 1.5% from the prior quarter.
Electronic Arts (EA) Buildings (2009 - 2012) Analysis & Trends
At the end of FY2012 (ended Mar 31, 2012), Electronic Arts' Buildings came in at $339 million, down 4.5% from FY2011.
- In prior fiscal years, Electronic Arts' Buildings was $355 million in FY2011 (+2.3%) and $347 million in FY2010.
- Quarterly Buildings has run from a low of $331 million in fiscal Q2 2012 to a high of $356 million in fiscal Q1 2012 over five years.
- On a year-over-year basis, Buildings has declined in each of the last four quarters, with an average decline of 2.1% over the last six quarters.
- According to Business Quant data, Buildings for the three prior fiscal quarters was $339 million (Q4 2012), $333 million (Q3 2012) and $331 million (Q2 2012).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn |
| 10 | Electronic Arts | 52.84 Bn | 43.76 Bn | 1.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | 334.00 Mn |
| Mar 31, 2012 | 339.00 Mn |
| Dec 31, 2011 | 333.00 Mn |
| Sep 30, 2011 | 331.00 Mn |
| Jun 30, 2011 | 356.00 Mn |
| Mar 31, 2011 | 355.00 Mn |
| Dec 31, 2010 | 349.00 Mn |
| Sep 30, 2010 | 345.00 Mn |
| Jun 30, 2010 | 340.00 Mn |
| Mar 31, 2010 | 347.00 Mn |
| Jun 30, 2009 | 347.00 Mn |
Electronic Arts Buildings 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=buildings&ticker=EA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "EA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=EA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();