Electronic Arts (EA) Amortization - Intangibles (2009 - 2026)
Electronic Arts (EA) recorded Amortization - Intangibles of $12 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 29.4% from $17 million a year earlier and down 20.0% from the prior quarter.
Electronic Arts (EA) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Electronic Arts' Amortization - Intangibles came in at $61 million as of Jun 30, 2026, down 9.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $66 million, down 1.5% from FY2025.
- Annual Amortization - Intangibles has declined for four straight fiscal years, though with a five-year compound annual growth rate of 17.1% (FY2021 to FY2026).
- Across earlier fiscal years, Amortization - Intangibles came in at $67 million in FY2025 (-52.8%), $142 million in FY2024 (-10.1%), $158 million in FY2023 (-13.7%) and $183 million in FY2022 (+510.0%).
- The fiscal Q1 2027 figure is the lowest quarterly Amortization - Intangibles since fiscal Q3 2021.
- On a year-over-year basis, Amortization - Intangibles rose in 1 of the last eight quarters, with an average decline of 20.5%.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 400.0% in fiscal Q2 2022, against a decline of 76.4% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $15 million (Q4 2026), $17 million (Q3 2026) and $17 million (Q2 2026).
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, 2026 | 12.00 Mn |
| Mar 31, 2026 | 15.00 Mn |
| Dec 31, 2025 | 17.00 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 17.00 Mn |
| Mar 31, 2025 | 17.00 Mn |
| Dec 31, 2024 | 16.00 Mn |
| Sep 30, 2024 | 17.00 Mn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | 72.00 Mn |
| Dec 31, 2023 | 21.00 Mn |
| Sep 30, 2023 | 24.00 Mn |
| Jun 30, 2023 | 25.00 Mn |
| Mar 31, 2023 | 26.00 Mn |
| Dec 31, 2022 | 50.00 Mn |
| Sep 30, 2022 | 43.00 Mn |
| Jun 30, 2022 | 39.00 Mn |
| Mar 31, 2022 | 52.00 Mn |
| Dec 31, 2021 | 61.00 Mn |
| Sep 30, 2021 | 30.00 Mn |
Electronic Arts Amortization - Intangibles 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=amortization-intangibles&ticker=EA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=EA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();