General Electric (GE) Change in Inventory (2009 - 2026)
General Electric's Change in Inventory was $322 million in Q3 2026, down 18.1% from $393 million a year earlier but up 195.4% from the prior quarter.
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Analysis
General Electric (GE) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Electric's Change in Inventory was $1.16 billion through Sep 30, 2026, down 39.0% year-over-year; for FY2025, it came in at $1.98 billion, up 29.6% from FY2024.
- Change in Inventory has now increased for four consecutive years.
- In earlier years, Change in Inventory was $1.53 billion in FY2024 (+15.7%), $1.32 billion in FY2023 (+34.8%), $980 million in FY2022 (+220.3%) and $306 million in FY2021.
- Quarterly Change in Inventory has moved between -$1.25 billion (Q4 2022) and $1.28 billion (Q1 2023) over five years.
- Compared with a year earlier, Change in Inventory has declined for three straight quarters, with growth averaging 7.3% over the last eight quarters.
- The best year-over-year quarter for Change in Inventory over five years was Q2 2022 (growth of 87.8%); the worst was Q2 2026 (a decline of 83.7%).
- Per Business Quant data, GE's Change in Inventory in the three quarters before Q3 2026 was $109 million (Q2 2026), $534 million (Q1 2026) and $194 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn | 322.00 Mn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn | 543.00 Mn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn | 160.00 Mn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn | -80.00 Mn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn | 156.00 Mn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn | -53.00 Mn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn | 55.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn | 31.00 Mn |
| 10 | TransDigm | 65.46 Bn | 53.46 Bn | 1.63 Bn | 87.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 322.00 Mn |
| Jun 30, 2026 | 109.00 Mn |
| Mar 31, 2026 | 534.00 Mn |
| Dec 31, 2025 | 194.00 Mn |
| Sep 30, 2025 | 393.00 Mn |
| Jun 30, 2025 | 670.00 Mn |
| Mar 31, 2025 | 724.00 Mn |
| Dec 31, 2024 | 112.00 Mn |
| Sep 30, 2024 | 215.00 Mn |
| Jun 30, 2024 | 697.00 Mn |
| Mar 31, 2024 | 504.00 Mn |
| Dec 31, 2023 | 123.00 Mn |
| Sep 30, 2023 | 531.00 Mn |
| Jun 30, 2023 | -608.00 Mn |
| Mar 31, 2023 | 1.28 Bn |
| Dec 31, 2022 | -1.25 Bn |
| Sep 30, 2022 | 352.00 Mn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 732.00 Mn |
| Dec 31, 2021 | -878.00 Mn |
API Access
General Electric Change in Inventory 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-inventory&ticker=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();