Rtx (RTX) Other Operating Expenses (2010 - 2026)
Rtx (RTX) reported Other Operating Expenses of $711 million for Q3 2026, up 3.9% from $684 million a year earlier but down 2.1% from the prior quarter.
Powered by 
Analysis
Rtx (RTX) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Rtx's Other Operating Expenses came in at $2.85 billion, up 1.0% year-over-year; for FY2025, it came in at $2.81 billion, down 4.3% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $2.93 billion in FY2024 (+4.6%), $2.81 billion in FY2023 (+3.5%), $2.71 billion in FY2022 (-0.8%) and $2.73 billion in FY2021 (+5.8%).
- Five-year quarterly Other Operating Expenses spans a low of $607 million in Q1 2023 and a high of $810 million in Q4 2021.
- Year over year, Other Operating Expenses gained in three of the last eight quarters, with an average decline of 0.5%.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2021 (growth of 14.1%); the low point was Q4 2022 (a decline of 11.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $726 million (Q2 2026), $627 million (Q1 2026) and $789 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 348.08 Bn | 306.60 Bn | 5.02 Bn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn |
| 10 | TransDigm | 70.04 Bn | 58.05 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 161.00 Mn |
| Jun 30, 2026 | 62.00 Mn |
| Mar 31, 2026 | 64.00 Mn |
| Dec 31, 2025 | 306.00 Mn |
| Sep 30, 2025 | 63.00 Mn |
| Jun 30, 2025 | 40.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 258.00 Mn |
| Sep 30, 2024 | 134.00 Mn |
| Jun 30, 2024 | -896.00 Mn |
| Mar 31, 2024 | 372.00 Mn |
| Dec 31, 2023 | -30.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 25.00 Mn |
| Mar 31, 2023 | 88.00 Mn |
| Dec 31, 2022 | 29.00 Mn |
| Sep 30, 2022 | 46.00 Mn |
| Jun 30, 2022 | 17.00 Mn |
| Mar 31, 2022 | 28.00 Mn |
| Dec 31, 2021 | 109.00 Mn |
API Access
Rtx Other 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=other-operating-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();