Rtx (RTX) Research & Development (2009 - 2026)
Rtx (RTX) posted Research & Development of $711 million for Q3 2026, up 3.9% from $684 million a year earlier but down 2.1% from the prior quarter.
Rtx (RTX) Research & Development (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Research & Development at Rtx was $2.85 billion, up 1.0% year-over-year; for FY2025, it came in at $2.81 billion, down 4.3% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, Rtx's Research & Development was $2.93 billion in FY2024 (+4.6%), $2.81 billion in FY2023 (+3.5%), $2.71 billion in FY2022 (-0.8%) and $2.73 billion in FY2021 (+5.8%).
- Quarterly Research & Development has run from a low of $607 million in Q1 2023 to a high of $810 million in Q4 2021 over five years.
- On a year-over-year basis, Research & Development increased in three of the last eight quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2021, with growth of 14.1%; the weakest was Q4 2022, with a decline of 11.6%.
- According to Business Quant data, Research & Development for the three prior quarters was $726 million (Q2 2026), $627 million (Q1 2026) and $789 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 348.08 Bn | 306.60 Bn | 5.02 Bn | 458.00 Mn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn | 711.00 Mn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn | 830.00 Mn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | - |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn | 276.00 Mn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn | 11.00 Mn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn | 239.00 Mn |
| 10 | TransDigm | 70.04 Bn | 58.05 Bn | 1.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 711.00 Mn |
| Jun 30, 2026 | 726.00 Mn |
| Mar 31, 2026 | 627.00 Mn |
| Dec 31, 2025 | 789.00 Mn |
| Sep 30, 2025 | 684.00 Mn |
| Jun 30, 2025 | 697.00 Mn |
| Mar 31, 2025 | 637.00 Mn |
| Dec 31, 2024 | 808.00 Mn |
| Sep 30, 2024 | 751.00 Mn |
| Jun 30, 2024 | 706.00 Mn |
| Mar 31, 2024 | 669.00 Mn |
| Dec 31, 2023 | 757.00 Mn |
| Sep 30, 2023 | 712.00 Mn |
| Jun 30, 2023 | 729.00 Mn |
| Mar 31, 2023 | 607.00 Mn |
| Dec 31, 2022 | 716.00 Mn |
| Sep 30, 2022 | 662.00 Mn |
| Jun 30, 2022 | 698.00 Mn |
| Mar 31, 2022 | 635.00 Mn |
| Dec 31, 2021 | 810.00 Mn |
Rtx 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=RTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "RTX", "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=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();