Rtx (RTX) Other Operating Expenses (2010 - 2026)
Rtx (RTX) recorded Other Operating Expenses of $62 million in Q2 2026, up 55.0% from $40 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Rtx (RTX) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Rtx's Other Operating Expenses came in at $495 million as of Jun 30, 2026, up 13.5% year-over-year; for FY2025, it was $413 million.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -61.4% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at -$132 million in FY2024, $86 million in FY2023 (-28.3%), $120 million in FY2022 (-71.6%) and $423 million in FY2021 (-99.1%).
- Quarterly Other Operating Expenses has ranged from -$896 million in Q2 2024 to $372 million in Q1 2024 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in two of the last four quarters, with an average decline of 19.6%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 322.7% in Q1 2024, against a decline of 99.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $64 million (Q1 2026), $306 million (Q4 2025) and $63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 124.00 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();