Rtx (RTX) Income from Continuing Operations (2009 - 2026)
Rtx (RTX) posted Income from Continuing Operations of $2.71 billion for Q3 2026, up 35.0% from $2.01 billion a year earlier and up 20.4% from the prior quarter.
Rtx (RTX) Income from Continuing Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Income from Continuing Operations at Rtx was $8.83 billion, up 27.6% year-over-year; for FY2025, it came in at $7.07 billion, up 41.0% from FY2024.
- In prior years, Rtx's Income from Continuing Operations was $5.01 billion in FY2024 (+48.3%), $3.38 billion in FY2023 (-36.5%), $5.33 billion in FY2022 (+28.5%) and $4.15 billion in FY2021.
- The Q3 2026 figure stands as the highest quarterly Income from Continuing Operations in data going back to Q2 2009.
- On a year-over-year basis, Income from Continuing Operations has increased in each of the last six quarters, with growth averaging 127.9% over the last eight quarters.
- The strongest year-over-year quarter for Income from Continuing Operations in the past five years was Q2 2025, with growth of 885.7%; the weakest was Q2 2024, with a decline of 87.1%.
- According to Business Quant data, Income from Continuing Operations for the three prior quarters was $2.25 billion (Q2 2026), $2.16 billion (Q1 2026) and $1.71 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 326.33 Bn | 285.08 Bn | 5.02 Bn | 2.42 Bn |
| 2 | Rtx | 273.71 Bn | 243.69 Bn | 5.81 Bn | 2.71 Bn |
| 3 | Lockheed Martin | 148.55 Bn | 132.78 Bn | 2.44 Bn | 1.85 Bn |
| 4 | Boeing | 139.02 Bn | 47.99 Bn | 2.17 Bn | -116.00 Mn |
| 5 | General Dynamics | 101.06 Bn | 88.18 Bn | 2.18 Bn | 1.16 Bn |
| 6 | Howmet Aerospace | 84.75 Bn | 80.50 Bn | 1.00 Bn | 567.00 Mn |
| 7 | Motorola Solutions | 80.64 Bn | 77.00 Bn | 1.68 Bn | 558.00 Mn |
| 8 | Northrop Grumman | 78.91 Bn | 66.37 Bn | 2.35 Bn | 1.12 Bn |
| 9 | Honeywell International | 70.92 Bn | 23.37 Bn | 3.65 Bn | 5.69 Bn |
| 10 | TransDigm | 67.08 Bn | 55.17 Bn | 1.63 Bn | 539.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.71 Bn |
| Jun 30, 2026 | 2.25 Bn |
| Mar 31, 2026 | 2.16 Bn |
| Dec 31, 2025 | 1.71 Bn |
| Sep 30, 2025 | 2.01 Bn |
| Jun 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 1.63 Bn |
| Dec 31, 2024 | 1.56 Bn |
| Sep 30, 2024 | 1.54 Bn |
| Jun 30, 2024 | 175.00 Mn |
| Mar 31, 2024 | 1.74 Bn |
| Dec 31, 2023 | 1.47 Bn |
| Sep 30, 2023 | -933.00 Mn |
| Jun 30, 2023 | 1.36 Bn |
| Mar 31, 2023 | 1.48 Bn |
| Dec 31, 2022 | 1.47 Bn |
| Sep 30, 2022 | 1.40 Bn |
| Jun 30, 2022 | 1.34 Bn |
| Mar 31, 2022 | 1.13 Bn |
| Dec 31, 2021 | 771.00 Mn |
Rtx Income from Continuing Operations 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=income-from-continuing-operations&ticker=RTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();