Rtx (RTX) Change in Other Operating Assets (2009 - 2026)
Rtx's Change in Other Operating Assets came in at $794 million for Q3 2026, down 56.2% from $1.81 billion a year earlier and down 13.3% from the prior quarter.
Rtx (RTX) Change in Other Operating Assets (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Rtx reported Change in Other Operating Assets of $3.75 billion, up 16.4% year-over-year; for FY2025, it came in at $3.7 billion, up 31.3% from FY2024.
- Change in Other Operating Assets has increased in each of the last three years, with a five-year compound annual growth rate of 57.5% (FY2020 to FY2025).
- Going back by year, Change in Other Operating Assets was $2.82 billion in FY2024 (+47.1%), $1.91 billion in FY2023 (+51.8%), $1.26 billion in FY2022 (-41.6%) and $2.16 billion in FY2021 (+465.4%).
- The five-year range for quarterly Change in Other Operating Assets is -$322 million (Q4 2022) to $1.81 billion (Q3 2025).
- Year-over-year, Change in Other Operating Assets increased in four of the last six quarters, with growth averaging 83.8%.
- The fastest year-over-year change in Change in Other Operating Assets over five years came in Q4 2025 (growth of 391.7%), and the weakest in Q2 2024 (a decline of 89.1%).
- Business Quant data shows RTX's Change in Other Operating Assets at $916 million (Q2 2026), $1.45 billion (Q1 2026) and $595 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 338.90 Bn | 297.41 Bn | 5.02 Bn | 54.00 Mn |
| 2 | Rtx | 267.32 Bn | 235.59 Bn | 5.81 Bn | 794.00 Mn |
| 3 | Lockheed Martin | 141.31 Bn | 125.54 Bn | 2.44 Bn | 861.00 Mn |
| 4 | Boeing | 141.19 Bn | 50.15 Bn | 2.17 Bn | 636.00 Mn |
| 5 | General Dynamics | 99.55 Bn | 86.67 Bn | 2.18 Bn | 190.00 Mn |
| 6 | Howmet Aerospace | 86.33 Bn | 82.08 Bn | 1.00 Bn | -12.00 Mn |
| 7 | Motorola Solutions | 81.68 Bn | 78.02 Bn | 1.68 Bn | 94.00 Mn |
| 8 | Northrop Grumman | 75.60 Bn | 63.05 Bn | 2.35 Bn | 403.00 Mn |
| 9 | Honeywell International | 71.45 Bn | 23.57 Bn | 3.65 Bn | 314.00 Mn |
| 10 | TransDigm | 69.79 Bn | 57.79 Bn | 1.63 Bn | 43.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 794.00 Mn |
| Jun 30, 2026 | 916.00 Mn |
| Mar 31, 2026 | 1.45 Bn |
| Dec 31, 2025 | 595.00 Mn |
| Sep 30, 2025 | 1.81 Bn |
| Jun 30, 2025 | 459.00 Mn |
| Mar 31, 2025 | 831.00 Mn |
| Dec 31, 2024 | 121.00 Mn |
| Sep 30, 2024 | 1.46 Bn |
| Jun 30, 2024 | 37.00 Mn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | -127.00 Mn |
| Sep 30, 2023 | -23.00 Mn |
| Jun 30, 2023 | 340.00 Mn |
| Mar 31, 2023 | 1.72 Bn |
| Dec 31, 2022 | -322.00 Mn |
| Sep 30, 2022 | 705.00 Mn |
| Jun 30, 2022 | 378.00 Mn |
| Mar 31, 2022 | 500.00 Mn |
| Dec 31, 2021 | 768.00 Mn |
Rtx Change in Other Operating Assets 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-other-operating-assets&ticker=RTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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-other-operating-assets&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();