General Electric (GE) Research & Development (2020 - 2026)
General Electric (GE) recorded Research & Development of $460 million in Q2 2026, up 28.1% from $359 million a year earlier and up 4.5% from the prior quarter.
General Electric (GE) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, General Electric's Research & Development came in at $1.76 billion as of Jun 30, 2026, up 22.9% year-over-year; for FY2025, it was $1.58 billion, up 22.9% from FY2024.
- Annual Research & Development has increased for three straight years, though with a five-year compound annual growth rate of -9.2% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $1.29 billion in FY2024 (+27.2%), $1.01 billion in FY2023 (+25.1%), $808 million in FY2022 (-52.0%) and $1.68 billion in FY2021 (-34.4%).
- The Q2 2026 figure is the highest quarterly Research & Development since Q3 2021.
- On a year-over-year basis, Research & Development has increased for nine consecutive quarters, with growth averaging 26.1% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 34.0% in Q3 2024, against a decline of 45.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $440 million (Q1 2026), $448 million (Q4 2025) and $415 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 460.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 726.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 921.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 8.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 260.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 524.00 Mn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460.00 Mn |
| Mar 31, 2026 | 440.00 Mn |
| Dec 31, 2025 | 448.00 Mn |
| Sep 30, 2025 | 415.00 Mn |
| Jun 30, 2025 | 359.00 Mn |
| Mar 31, 2025 | 359.00 Mn |
| Dec 31, 2024 | 385.00 Mn |
| Sep 30, 2024 | 331.00 Mn |
| Jun 30, 2024 | 300.00 Mn |
| Mar 31, 2024 | 270.00 Mn |
| Dec 31, 2023 | 296.00 Mn |
| Sep 30, 2023 | 247.00 Mn |
| Jun 30, 2023 | 239.00 Mn |
| Mar 31, 2023 | 431.00 Mn |
| Dec 31, 2022 | -461.00 Mn |
| Sep 30, 2022 | 426.00 Mn |
| Jun 30, 2022 | 439.00 Mn |
| Mar 31, 2022 | 403.00 Mn |
| Dec 31, 2021 | -110.00 Mn |
| Sep 30, 2021 | 627.00 Mn |
General Electric Research & Development 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=research-and-development&ticker=GE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();