General Electric (GE) Cash & Equivalents (2009 - 2026)
General Electric (GE) recorded Cash & Equivalents of $8.76 billion in Q3 2026, down 29.9% from $12.5 billion a year earlier and down 6.2% from the prior quarter.
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Analysis
General Electric (GE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, General Electric reported Cash & Equivalents of $12.39 billion, down 9.0% from FY2024.
- Annual Cash & Equivalents has declined for three straight years, with a five-year compound annual growth rate of -19.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $13.62 billion in FY2024 (-10.4%), $15.2 billion in FY2023 (-3.8%), $15.81 billion in FY2022 (+0.3%) and $15.77 billion in FY2021 (-56.8%).
- The Q3 2026 figure is the lowest quarterly Cash & Equivalents in data going back to Q1 2009.
- On a year-over-year basis, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 15.8% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 53.7% in Q1 2024, against a decline of 59.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.35 billion (Q2 2026), $10.98 billion (Q1 2026) and $12.39 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | 4.33 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | 710.00 Mn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | 3.74 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | 563.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | 8.75 Bn |
| 10 | TransDigm | 63.12 Bn | 51.21 Bn | 1.63 Bn | 2.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.76 Bn |
| Jun 30, 2026 | 9.35 Bn |
| Mar 31, 2026 | 10.98 Bn |
| Dec 31, 2025 | 12.39 Bn |
| Sep 30, 2025 | 12.50 Bn |
| Jun 30, 2025 | 10.86 Bn |
| Mar 31, 2025 | 12.41 Bn |
| Dec 31, 2024 | 13.62 Bn |
| Sep 30, 2024 | 13.72 Bn |
| Jun 30, 2024 | 12.11 Bn |
| Mar 31, 2024 | 18.45 Bn |
| Dec 31, 2023 | 15.20 Bn |
| Sep 30, 2023 | 13.13 Bn |
| Jun 30, 2023 | 12.77 Bn |
| Mar 31, 2023 | 12.00 Bn |
| Dec 31, 2022 | 15.81 Bn |
| Sep 30, 2022 | 12.60 Bn |
| Jun 30, 2022 | 13.19 Bn |
| Mar 31, 2022 | 12.84 Bn |
| Dec 31, 2021 | 15.77 Bn |
API Access
General Electric Cash & Equivalents 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=cash-and-equivalents&ticker=GE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();