General Electric (GE) Profit After Tax (2009 - 2026)
General Electric (GE) posted Profit After Tax of $2.39 billion for Q2 2026, up 19.6% from $2 billion a year earlier and up 23.0% from the prior quarter.
General Electric (GE) Profit After Tax (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Profit After Tax at General Electric was $8.97 billion, up 18.7% year-over-year; for FY2025, it came in at $8.6 billion, up 29.1% from FY2024.
- Annual Profit After Tax shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, General Electric's Profit After Tax was $6.66 billion in FY2024 (-29.5%), $9.45 billion in FY2023 (+598.2%), $1.35 billion in FY2022 and -$4.94 billion in FY2021.
- Quarterly Profit After Tax has run from a low of -$5.05 billion in Q4 2021 to a high of $6.22 billion in Q1 2023 over five years.
- On a year-over-year basis, Profit After Tax increased in seven of the last eight quarters, with growth averaging 81.8%.
- The strongest year-over-year quarter for Profit After Tax in the past five years was Q3 2024, with growth of 452.1%; the weakest was Q1 2024, with a decline of 72.0%.
- According to Business Quant data, Profit After Tax for the three prior quarters was $1.95 billion (Q1 2026), $2.46 billion (Q4 2025) and $2.17 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 2.39 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 2.25 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | -428.00 Mn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 1.84 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 534.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 1.16 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 558.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 1.09 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 5.95 Bn |
| 10 | TransDigm | 60.65 Bn | 48.74 Bn | 1.63 Bn | 540.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Bn |
| Mar 31, 2026 | 1.95 Bn |
| Dec 31, 2025 | 2.46 Bn |
| Sep 30, 2025 | 2.17 Bn |
| Jun 30, 2025 | 2.00 Bn |
| Mar 31, 2025 | 1.96 Bn |
| Dec 31, 2024 | 1.90 Bn |
| Sep 30, 2024 | 1.70 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.74 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 307.00 Mn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 6.22 Bn |
| Dec 31, 2022 | 3.93 Bn |
| Sep 30, 2022 | -245.00 Mn |
| Jun 30, 2022 | -1.13 Bn |
| Mar 31, 2022 | -1.21 Bn |
| Dec 31, 2021 | -5.05 Bn |
| Sep 30, 2021 | 582.00 Mn |
General Electric Profit After Tax 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=profit-after-tax&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();