Rtx (RTX) Change in Intangibles (2012 - 2026)
Rtx (RTX) posted Change in Intangibles of $73 million for Q3 2026, down 39.7% from $121 million a year earlier but up 25.9% from the prior quarter.
Rtx (RTX) Change in Intangibles (2012 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Intangibles at Rtx was $374 million, down 26.8% year-over-year; for FY2025, it was $492 million, down 19.5% from FY2024.
- Annual Change in Intangibles shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In prior years, Rtx's Change in Intangibles was $611 million in FY2024 (-18.6%), $751 million in FY2023 (+54.2%), $487 million in FY2022 (+58.1%) and $308 million in FY2021 (-1.3%).
- Quarterly Change in Intangibles has run from a low of $58 million in Q2 2026 to a high of $222 million in Q3 2023 over five years.
- On a year-over-year basis, Change in Intangibles has declined in each of the last ten quarters, with an average decline of 24.6% over the last eight quarters.
- The strongest year-over-year quarter for Change in Intangibles in the past five years was Q2 2022, with growth of 267.9%; the weakest was Q2 2026, with a decline of 52.5%.
- According to Business Quant data, Change in Intangibles for the three prior quarters was $58 million (Q2 2026), $98 million (Q1 2026) and $145 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn | - |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn | 73.00 Mn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn | - |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn | - |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn | - |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn | - |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn | - |
| 10 | TransDigm | 63.12 Bn | 51.21 Bn | 1.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 73.00 Mn |
| Jun 30, 2026 | 58.00 Mn |
| Mar 31, 2026 | 98.00 Mn |
| Dec 31, 2025 | 145.00 Mn |
| Sep 30, 2025 | 121.00 Mn |
| Jun 30, 2025 | 122.00 Mn |
| Mar 31, 2025 | 104.00 Mn |
| Dec 31, 2024 | 164.00 Mn |
| Sep 30, 2024 | 129.00 Mn |
| Jun 30, 2024 | 155.00 Mn |
| Mar 31, 2024 | 163.00 Mn |
| Dec 31, 2023 | 215.00 Mn |
| Sep 30, 2023 | 222.00 Mn |
| Jun 30, 2023 | 160.00 Mn |
| Mar 31, 2023 | 154.00 Mn |
| Dec 31, 2022 | 169.00 Mn |
| Sep 30, 2022 | 133.00 Mn |
| Jun 30, 2022 | 103.00 Mn |
| Mar 31, 2022 | 82.00 Mn |
| Dec 31, 2021 | 170.00 Mn |
Rtx Change in Intangibles 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=change-in-intangibles&ticker=RTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();