General Electric (GE) Non-Current Assets (2019 - 2026)
General Electric's Non-Current Assets was $85.67 billion in Q3 2026, down 2.8% from $88.17 billion a year earlier and down 2.6% from the prior quarter.
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Analysis
General Electric (GE) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at General Electric came in at $89.57 billion, up 4.8% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -12.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $85.51 billion in FY2024 (-34.6%), $130.74 billion in FY2023 (+0.2%), $130.47 billion in FY2022 (-1.6%) and $132.53 billion in FY2021 (-22.7%).
- The Q3 2026 figure marks the lowest quarterly Non-Current Assets since Q4 2024.
- Compared with a year earlier, Non-Current Assets was higher in five of the last eight quarters, with an average decline of 5.7%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2025 (growth of 4.8%); the worst was Q4 2024 (a decline of 34.6%).
- Per Business Quant data, GE's Non-Current Assets in the three quarters before Q3 2026 was $87.98 billion (Q2 2026), $88.08 billion (Q1 2026) and $89.57 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn | 85.67 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn | 1.30 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn | 34.05 Bn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn | 33.13 Bn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn | 13.11 Bn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn | 35.52 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn | 9.06 Bn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn | 49.27 Bn |
| 10 | TransDigm | 65.46 Bn | 53.46 Bn | 1.63 Bn | 18.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 85.67 Bn |
| Jun 30, 2026 | 87.98 Bn |
| Mar 31, 2026 | 88.08 Bn |
| Dec 31, 2025 | 89.57 Bn |
| Sep 30, 2025 | 88.17 Bn |
| Jun 30, 2025 | 87.46 Bn |
| Mar 31, 2025 | 86.55 Bn |
| Dec 31, 2024 | 85.51 Bn |
| Sep 30, 2024 | 88.05 Bn |
| Jun 30, 2024 | 85.84 Bn |
| Mar 31, 2024 | 104.35 Bn |
| Dec 31, 2023 | 130.74 Bn |
| Sep 30, 2023 | 100.23 Bn |
| Jun 30, 2023 | 102.79 Bn |
| Mar 31, 2023 | 104.19 Bn |
| Dec 31, 2022 | 130.47 Bn |
| Sep 30, 2022 | 120.80 Bn |
| Jun 30, 2022 | 124.88 Bn |
| Mar 31, 2022 | 128.66 Bn |
| Dec 31, 2021 | 132.53 Bn |
API Access
General Electric Non-Current Assets 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=non-current-assets&ticker=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();