General Electric (GE) Long-Term Investments (2009 - 2026)
General Electric's Long-Term Investments was $37.91 billion in Q2 2026, up 0.1% from $37.89 billion a year earlier but down 0.7% from the prior quarter.
General Electric (GE) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Long-Term Investments at General Electric came in at $38.79 billion, up 2.8% from FY2024.
- Long-Term Investments shows a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In earlier years, Long-Term Investments was $37.74 billion in FY2024 (-0.7%), $38 billion in FY2023 (+5.5%), $36.03 billion in FY2022 (-14.6%) and $42.21 billion in FY2021 (-0.8%).
- Quarterly Long-Term Investments has moved between $33.62 billion (Q3 2022) and $42.39 billion (Q3 2021) over five years.
- Compared with a year earlier, Long-Term Investments has increased for three straight quarters, with growth averaging 1.0% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was Q3 2024 (growth of 11.2%); the worst was Q3 2022 (a decline of 20.7%).
- Per Business Quant data, GE's Long-Term Investments in the three quarters before Q2 2026 was $38.19 billion (Q1 2026), $38.79 billion (Q4 2025) and $38.16 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 37.91 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 13.90 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 300.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 7.46 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.91 Bn |
| Mar 31, 2026 | 38.19 Bn |
| Dec 31, 2025 | 38.79 Bn |
| Sep 30, 2025 | 38.16 Bn |
| Jun 30, 2025 | 37.89 Bn |
| Mar 31, 2025 | 38.01 Bn |
| Dec 31, 2024 | 37.74 Bn |
| Sep 30, 2024 | 39.51 Bn |
| Jun 30, 2024 | 38.13 Bn |
| Mar 31, 2024 | 38.71 Bn |
| Dec 31, 2023 | 38.00 Bn |
| Sep 30, 2023 | 35.53 Bn |
| Jun 30, 2023 | 37.39 Bn |
| Mar 31, 2023 | 38.26 Bn |
| Dec 31, 2022 | 36.03 Bn |
| Sep 30, 2022 | 33.62 Bn |
| Jun 30, 2022 | 36.20 Bn |
| Mar 31, 2022 | 39.85 Bn |
| Dec 31, 2021 | 42.21 Bn |
| Sep 30, 2021 | 42.39 Bn |
General Electric Long-Term Investments 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=long-term-investments&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();