Rtx (RTX) Operating Expenses (2009 - 2026)
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Analysis
Rtx (RTX) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,722.87 Bn | 1,722.87 Bn | 9.10 Bn | 11.78 Bn |
| 2 | General Electric | 345.20 Bn | 303.72 Bn | 5.02 Bn | 11.75 Bn |
| 3 | Rtx | 269.97 Bn | 238.24 Bn | 5.81 Bn | 21.79 Bn |
| 4 | Lockheed Martin | 137.94 Bn | 122.17 Bn | 2.44 Bn | - |
| 5 | Boeing | 136.62 Bn | 45.58 Bn | 2.17 Bn | 2.03 Bn |
| 6 | General Dynamics | 98.71 Bn | 83.95 Bn | 2.25 Bn | 13.04 Bn |
| 7 | Howmet Aerospace | 88.13 Bn | 83.88 Bn | 1.00 Bn | 133.00 Mn |
| 8 | Motorola Solutions | 86.35 Bn | 82.81 Bn | 1.77 Bn | 780.00 Mn |
| 9 | Northrop Grumman | 77.53 Bn | 64.99 Bn | 2.35 Bn | 9.85 Bn |
| 10 | Honeywell International | 72.26 Bn | 31.77 Bn | 2.02 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.79 Bn |
| Jun 30, 2026 | 21.96 Bn |
| Mar 31, 2026 | 19.59 Bn |
| Dec 31, 2025 | 21.95 Bn |
| Sep 30, 2025 | 20.02 Bn |
| Jun 30, 2025 | 19.48 Bn |
| Mar 31, 2025 | 18.28 Bn |
| Dec 31, 2024 | 19.77 Bn |
| Sep 30, 2024 | 18.20 Bn |
| Jun 30, 2024 | 18.30 Bn |
| Mar 31, 2024 | 17.81 Bn |
| Dec 31, 2023 | 18.12 Bn |
| Sep 30, 2023 | 14.86 Bn |
| Jun 30, 2023 | 16.85 Bn |
| Mar 31, 2023 | 15.62 Bn |
| Dec 31, 2022 | 16.63 Bn |
| Sep 30, 2022 | 15.48 Bn |
| Jun 30, 2022 | 14.98 Bn |
| Mar 31, 2022 | 14.66 Bn |
| Dec 31, 2021 | 15.66 Bn |
API Access
Rtx Operating Expenses 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=operating-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();