General Electric (GE) Amortizatization of Intangibles (2017 - 2026)
General Electric (GE) reported Amortizatization of Intangibles of $88 million for Q2 2026, down 5.4% from $93 million a year earlier but up 3.5% from the prior quarter.
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Analysis
General Electric (GE) Amortizatization of Intangibles (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, General Electric's Amortizatization of Intangibles came in at $348 million, down 3.3% year-over-year; for FY2025, it was $357 million, up 2.0% from FY2024.
- Amortizatization of Intangibles has a five-year compound annual growth rate of -23.2% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $350 million in FY2024 (-8.4%), $382 million in FY2023 (+13.0%), $338 million in FY2022 (-54.2%) and $738 million in FY2021 (-44.8%).
- Five-year quarterly Amortizatization of Intangibles spans a low of -$855 million in Q4 2022 and a high of $922 million in Q1 2022.
- Year over year, Amortizatization of Intangibles has now declined in each of the last four quarters, with an average decline of 2.5% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q1 2022 (growth of 206.3%); the low point was Q1 2023 (a decline of 84.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $85 million (Q1 2026), $87 million (Q4 2025) and $88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 88.00 Mn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 43.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.00 Mn |
| Mar 31, 2026 | 85.00 Mn |
| Dec 31, 2025 | 87.00 Mn |
| Sep 30, 2025 | 88.00 Mn |
| Jun 30, 2025 | 93.00 Mn |
| Mar 31, 2025 | 89.00 Mn |
| Dec 31, 2024 | 89.00 Mn |
| Sep 30, 2024 | 89.00 Mn |
| Jun 30, 2024 | 83.00 Mn |
| Mar 31, 2024 | 88.00 Mn |
| Dec 31, 2023 | 104.00 Mn |
| Sep 30, 2023 | 94.00 Mn |
| Jun 30, 2023 | 96.00 Mn |
| Mar 31, 2023 | 140.00 Mn |
| Dec 31, 2022 | -855.00 Mn |
| Sep 30, 2022 | 135.00 Mn |
| Jun 30, 2022 | 136.00 Mn |
| Mar 31, 2022 | 922.00 Mn |
| Dec 31, 2021 | -122.00 Mn |
| Sep 30, 2021 | 272.00 Mn |
API Access
General Electric 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=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "GE", "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=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();