General Electric (GE) Change in Intangibles (2017 - 2023)
General Electric's Change in Intangibles was $20 million in Q1 2023, down 9.1% from $22 million a year earlier and down 42.9% from the prior quarter.
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Analysis
General Electric (GE) Change in Intangibles (2017 - 2023) Analysis & Trends
On a trailing twelve-month basis, General Electric's Change in Intangibles was $111 million through Mar 31, 2023, up 1.8% year-over-year; for FY2022, it was $113 million, up 1.8% from FY2021.
- Change in Intangibles shows a five-year compound annual growth rate of -24.3% (FY2017 to FY2022).
- In earlier years, Change in Intangibles was $111 million in FY2021 (-26.5%), $151 million in FY2020 (-46.5%), $282 million in FY2019 (-11.9%) and $320 million in FY2018 (-29.5%).
- The Q1 2023 figure marks the lowest quarterly Change in Intangibles in data going back to Q1 2017.
- Compared with a year earlier, Change in Intangibles was higher in five of the last eight quarters, with an average decline of 0.5%.
- The best year-over-year quarter for Change in Intangibles over five years was Q4 2018 (growth of 97.2%); the worst was Q4 2020 (a decline of 64.9%).
- Per Business Quant data, GE's Change in Intangibles in the three quarters before Q1 2023 was $35 million (Q4 2022), $30 million (Q3 2022) and $26 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn | - |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn | 58.00 Mn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn | - |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn | - |
| 10 | TransDigm | 63.64 Bn | 51.65 Bn | 1.63 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 35.00 Mn |
| Sep 30, 2022 | 30.00 Mn |
| Jun 30, 2022 | 26.00 Mn |
| Mar 31, 2022 | 22.00 Mn |
| Dec 31, 2021 | 33.00 Mn |
| Sep 30, 2021 | 29.00 Mn |
| Jun 30, 2021 | 25.00 Mn |
| Mar 31, 2021 | 24.00 Mn |
| Dec 31, 2020 | 26.00 Mn |
| Sep 30, 2020 | 27.00 Mn |
| Jun 30, 2020 | 38.00 Mn |
| Mar 31, 2020 | 60.00 Mn |
| Dec 31, 2019 | 74.00 Mn |
| Sep 30, 2019 | 67.00 Mn |
| Jun 30, 2019 | 72.00 Mn |
| Mar 31, 2019 | 69.00 Mn |
| Dec 31, 2018 | 71.00 Mn |
| Sep 30, 2018 | 69.00 Mn |
| Jun 30, 2018 | 83.00 Mn |
API Access
General Electric Change in 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=change-in-intangibles&ticker=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-intangibles&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();