General Electric (GE) Amortization of Intangibles (2017 - 2026)
General Electric (GE) reported Amortization of Intangibles of $109 million for Q3 2026, up 23.9% from $88 million a year earlier and up 23.9% from the prior quarter.
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Analysis
General Electric (GE) Amortization of Intangibles (2017 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, General Electric's Amortization of Intangibles came in at $369 million, up 2.8% year-over-year; for FY2025, it was $357 million, up 2.0% from FY2024.
- Amortization of Intangibles has a five-year compound annual growth rate of -23.2% (FY2020 to FY2025).
- By year, Amortization 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%).
- The Q3 2026 figure ranks as the highest quarterly Amortization of Intangibles since Q1 2023.
- Year over year, Amortization of Intangibles gained in three of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Amortization 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 Q3 2026 came in at $88 million (Q2 2026), $85 million (Q1 2026) and $87 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 109.00 Mn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | - |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | - |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 43.00 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | - |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 104.00 Mn |
| 10 | TransDigm | 68.72 Bn | 56.73 Bn | 1.63 Bn | 70.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.00 Mn |
| 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 |
API Access
General Electric Amortization 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();