General Electric (GE) Change in Inventory (2009 - 2026)
General Electric's Change in Inventory was $109 million in Q2 2026, down 83.7% from $670 million a year earlier and down 79.6% 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 $1.23 billion through Jun 30, 2026, down 28.5% 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.
- The Q2 2026 figure marks the lowest quarterly Change in Inventory since Q2 2023.
- Compared with a year earlier, Change in Inventory was higher in three of the last eight quarters, with growth averaging 2.2%.
- 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 Q2 2026 was $534 million (Q1 2026), $194 million (Q4 2025) and $393 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 160.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 55.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | -80.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 31.00 Mn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 87.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -146.00 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();