General Electric (GE) Cash from Operations (2009 - 2026)
General Electric's Cash from Operations came in at $2.2 billion for Q3 2026, down 13.8% from $2.56 billion a year earlier and down 32.4% from the prior quarter.
General Electric (GE) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, General Electric reported Cash from Operations of $9.43 billion, up 21.4% year-over-year; for FY2025, it came in at $8.54 billion, up 46.9% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $5.82 billion in FY2024 (+12.1%), $5.19 billion in FY2023 (-12.3%), $5.92 billion in FY2022 (+70.0%) and $3.48 billion in FY2021 (-2.4%).
- The five-year range for quarterly Cash from Operations is -$924 million (Q1 2022) to $5.01 billion (Q4 2021).
- Year-over-year, Cash from Operations increased in five of the last eight quarters, with growth averaging 31.3%.
- The fastest year-over-year change in Cash from Operations over five years came in Q2 2023 (growth of 272.0%), and the weakest in Q4 2023 (a decline of 59.2%).
- Business Quant data shows GE's Cash from Operations at $3.26 billion (Q2 2026), $1.87 billion (Q1 2026) and $2.1 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 296.44 Bn | 254.96 Bn | 5.02 Bn | 2.20 Bn |
| 2 | Rtx | 258.97 Bn | 227.24 Bn | 5.81 Bn | 2.87 Bn |
| 3 | Boeing | 146.80 Bn | 53.49 Bn | 2.41 Bn | 1.36 Bn |
| 4 | Lockheed Martin | 137.01 Bn | 121.24 Bn | 2.44 Bn | 3.44 Bn |
| 5 | General Dynamics | 94.12 Bn | 81.24 Bn | 2.18 Bn | 1.88 Bn |
| 6 | Motorola Solutions | 79.04 Bn | 75.38 Bn | 1.68 Bn | 469.00 Mn |
| 7 | Northrop Grumman | 77.42 Bn | 64.88 Bn | 2.35 Bn | 1.75 Bn |
| 8 | Howmet Aerospace | 74.83 Bn | 70.43 Bn | 951.00 Mn | 583.00 Mn |
| 9 | Honeywell International | 68.88 Bn | 21.00 Bn | 3.65 Bn | 1.28 Bn |
| 10 | TransDigm | 62.86 Bn | 50.86 Bn | 1.63 Bn | 724.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.20 Bn |
| Jun 30, 2026 | 3.26 Bn |
| Mar 31, 2026 | 1.87 Bn |
| Dec 31, 2025 | 2.10 Bn |
| Sep 30, 2025 | 2.56 Bn |
| Jun 30, 2025 | 2.35 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.91 Bn |
| Jun 30, 2024 | 957.00 Mn |
| Mar 31, 2024 | 1.63 Bn |
| Dec 31, 2023 | 1.84 Bn |
| Sep 30, 2023 | 1.79 Bn |
| Jun 30, 2023 | 1.82 Bn |
| Mar 31, 2023 | -259.00 Mn |
| Dec 31, 2022 | 4.50 Bn |
| Sep 30, 2022 | 1.85 Bn |
| Jun 30, 2022 | 490.00 Mn |
| Mar 31, 2022 | -924.00 Mn |
| Dec 31, 2021 | 5.01 Bn |
General Electric Cash from Operations 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-from-operations&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();