Rtx (RTX) Change in Intangibles (2014 - 2026)
Rtx (RTX) posted Change in Intangibles of $58 million for Q2 2026, down 52.5% from $122 million a year earlier and down 40.8% from the prior quarter.
Powered by 
Analysis
Rtx (RTX) Change in Intangibles (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Intangibles at Rtx was $422 million, down 18.7% 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%).
- The Q2 2026 figure stands as the lowest quarterly Change in Intangibles since Q2 2021.
- On a year-over-year basis, Change in Intangibles has declined in each of the last nine quarters, with an average decline of 24.9% 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 $98 million (Q1 2026), $145 million (Q4 2025) and $121 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | - |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 58.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 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 | - |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | - |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 78.00 Mn |
API Access
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_KEYimport 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();