Electronic Arts (EA) Operating Expenses (2009 - 2026)
Electronic Arts' Operating Expenses came in at $1.2 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.0% from $1.12 billion a year earlier and up 0.6% from the prior quarter.
Electronic Arts (EA) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Electronic Arts reported Operating Expenses of $4.86 billion, up 8.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $4.79 billion, up 8.8% from FY2025.
- Operating Expenses has increased in each of the last 11 fiscal years, with a five-year compound annual growth rate of 9.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $4.4 billion in FY2025 (+1.5%), $4.33 billion in FY2024 (+0.7%), $4.3 billion in FY2023 (+7.5%) and $4 billion in FY2022 (+29.6%).
- The five-year range for quarterly Operating Expenses is $992 million (fiscal Q2 2022) to $1.28 billion (fiscal Q3 2026).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 6.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 38.5%), and the weakest in fiscal Q4 2024 (a decline of 5.0%).
- Business Quant data shows EA's Operating Expenses at $1.19 billion (Q4 2026), $1.28 billion (Q3 2026) and $1.2 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Electronic Arts | 52.84 Bn | 43.76 Bn | 1.71 Bn | 1.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Bn |
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.28 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | 1.13 Bn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 1.08 Bn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 1.25 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 1.02 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 992.00 Mn |
Electronic Arts Operating Expenses 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=operating-expenses&ticker=EA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();