General Electric (GE) Revenue (2009 - 2026)
General Electric's Revenue was $14.12 billion in Q3 2026, up 15.9% from $12.18 billion a year earlier and up 5.8% from the prior quarter.
General Electric (GE) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Electric's Revenue was $52.58 billion through Sep 30, 2026, up 19.6% year-over-year; for FY2025, it came in at $45.86 billion, up 18.5% from FY2024.
- Revenue has now increased for three consecutive years, though with a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- In earlier years, Revenue was $38.7 billion in FY2024 (+9.5%), $35.35 billion in FY2023 (+21.3%), $29.14 billion in FY2022 (-48.4%) and $56.47 billion in FY2021 (-25.5%).
- The Q3 2026 figure marks the highest quarterly Revenue since Q4 2022.
- Compared with a year earlier, Revenue has increased for 11 straight quarters, with growth averaging 18.7% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q1 2026 (growth of 24.7%); the worst was Q4 2023 (a decline of 43.8%).
- Per Business Quant data, GE's Revenue in the three quarters before Q3 2026 was $13.35 billion (Q2 2026), $12.39 billion (Q1 2026) and $12.72 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 296.57 Bn | 255.09 Bn | 5.02 Bn | 14.12 Bn |
| 2 | Rtx | 259.20 Bn | 227.47 Bn | 5.81 Bn | 24.97 Bn |
| 3 | Boeing | 149.27 Bn | 55.96 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 139.92 Bn | 124.15 Bn | 2.44 Bn | 20.71 Bn |
| 5 | General Dynamics | 94.69 Bn | 81.80 Bn | 2.18 Bn | 14.09 Bn |
| 6 | Motorola Solutions | 79.45 Bn | 75.80 Bn | 1.68 Bn | 3.13 Bn |
| 7 | Northrop Grumman | 78.44 Bn | 65.89 Bn | 2.35 Bn | 11.12 Bn |
| 8 | Howmet Aerospace | 74.69 Bn | 70.29 Bn | 951.00 Mn | 2.55 Bn |
| 9 | Honeywell International | 70.66 Bn | 22.78 Bn | 3.65 Bn | 9.72 Bn |
| 10 | TransDigm | 63.38 Bn | 51.39 Bn | 1.63 Bn | 2.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.12 Bn |
| Jun 30, 2026 | 13.35 Bn |
| Mar 31, 2026 | 12.39 Bn |
| Dec 31, 2025 | 12.72 Bn |
| Sep 30, 2025 | 12.18 Bn |
| Jun 30, 2025 | 11.02 Bn |
| Mar 31, 2025 | 9.94 Bn |
| Dec 31, 2024 | 10.81 Bn |
| Sep 30, 2024 | 9.84 Bn |
| Jun 30, 2024 | 9.09 Bn |
| Mar 31, 2024 | 8.96 Bn |
| Dec 31, 2023 | 9.46 Bn |
| Sep 30, 2023 | 9.30 Bn |
| Jun 30, 2023 | 8.76 Bn |
| Mar 31, 2023 | 7.84 Bn |
| Dec 31, 2022 | 16.83 Bn |
| Sep 30, 2022 | 14.47 Bn |
| Jun 30, 2022 | 14.13 Bn |
| Mar 31, 2022 | 12.68 Bn |
| Dec 31, 2021 | 20.30 Bn |
General Electric Revenue 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=revenue&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();