General Electric (GE) Cash from Operations (2009 - 2026)
General Electric's Cash from Operations came in at $3.26 billion for Q2 2026, up 38.8% from $2.35 billion a year earlier and up 74.4% from the prior quarter.
General Electric (GE) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, General Electric reported Cash from Operations of $9.78 billion, up 37.3% 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 Q2 2026 figure represents the highest quarterly Cash from Operations since Q4 2022.
- Year-over-year, Cash from Operations has increased for five consecutive quarters, with growth averaging 33.9% over the last eight quarters.
- 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 $1.87 billion (Q1 2026), $2.1 billion (Q4 2025) and $2.56 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 3.26 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 3.55 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.36 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 3.24 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 583.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.88 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 469.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.28 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.28 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 724.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.46 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();