GE Vernova (GEV) Amortizatization of Intangibles (2023 - 2026)
GE Vernova (GEV) posted Amortizatization of Intangibles of $236 million for Q2 2026, up 293.3% from $60 million a year earlier and up 34.1% from the prior quarter.
GE Vernova (GEV) Amortizatization of Intangibles (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at GE Vernova was $534 million, up 99.3% year-over-year; for FY2025, it was $238 million, down 14.1% from FY2024.
- Annual Amortizatization of Intangibles shows a three-year compound annual growth rate of -38.4% (FY2022 to FY2025).
- In prior years, GE Vernova's Amortizatization of Intangibles was $277 million in FY2024 (+15.4%), $240 million in FY2023 (-76.4%) and $1.02 billion in FY2022.
- The Q2 2026 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to Q1 2023.
- On a year-over-year basis, Amortizatization of Intangibles increased in four of the last eight quarters, with growth averaging 64.6%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q2 2026, with growth of 293.3%; the weakest was Q4 2025, with a decline of 31.5%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $176 million (Q1 2026), $61 million (Q4 2025) and $61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn | 236.00 Mn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn | - |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn | - |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn | 30.82 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn | - |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn | - |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn | - |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn | - |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn | - |
| 10 | Nuscale Power | 3.18 Bn | 3.13 Bn | -152,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236.00 Mn |
| Mar 31, 2026 | 176.00 Mn |
| Dec 31, 2025 | 61.00 Mn |
| Sep 30, 2025 | 61.00 Mn |
| Jun 30, 2025 | 60.00 Mn |
| Mar 31, 2025 | 56.00 Mn |
| Dec 31, 2024 | 89.00 Mn |
| Sep 30, 2024 | 63.00 Mn |
| Jun 30, 2024 | 63.00 Mn |
| Mar 31, 2024 | 63.00 Mn |
| Dec 31, 2023 | 59.00 Mn |
| Sep 30, 2023 | 58.00 Mn |
| Jun 30, 2023 | 68.00 Mn |
| Mar 31, 2023 | 55.00 Mn |
GE Vernova Amortizatization of 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=amortizatization-of-intangibles&ticker=GEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "GEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=GEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();