Rtx (RTX) Other Accumulated Expenses (2009 - 2026)
Rtx (RTX) recorded Other Accumulated Expenses of $14.8 billion in Q3 2026, down 0.2% from $14.84 billion a year earlier and down 5.7% from the prior quarter.
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Analysis
Rtx (RTX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Rtx reported Other Accumulated Expenses of $14.35 billion, down 3.2% from FY2024.
- Annual Other Accumulated Expenses has a three-year compound annual growth rate of 9.3% (FY2022 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $14.83 billion in FY2024 (-0.6%), $14.92 billion in FY2023 (+35.6%) and $11 billion in FY2022.
- Quarterly Other Accumulated Expenses has ranged from $11 billion in Q4 2022 to $17.05 billion in Q2 2024 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has declined for six consecutive quarters, with an average decline of 3.0% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 45.5% in Q2 2024, against a decline of 7.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.7 billion (Q2 2026), $14.22 billion (Q1 2026) and $14.35 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn |
| 10 | Honeywell International | 70.61 Bn | 30.36 Bn | 2.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.80 Bn |
| Jun 30, 2026 | 15.70 Bn |
| Mar 31, 2026 | 14.22 Bn |
| Dec 31, 2025 | 14.35 Bn |
| Sep 30, 2025 | 14.84 Bn |
| Jun 30, 2025 | 15.86 Bn |
| Mar 31, 2025 | 15.22 Bn |
| Dec 31, 2024 | 14.83 Bn |
| Sep 30, 2024 | 15.97 Bn |
| Jun 30, 2024 | 17.05 Bn |
| Mar 31, 2024 | 15.01 Bn |
| Dec 31, 2023 | 14.92 Bn |
| Sep 30, 2023 | 14.28 Bn |
| Jun 30, 2023 | 11.72 Bn |
| Mar 31, 2023 | 11.57 Bn |
| Dec 31, 2022 | 11.00 Bn |
| Sep 30, 2022 | 11.21 Bn |
| Jun 30, 2022 | 12.46 Bn |
| Mar 31, 2022 | 11.00 Bn |
| Dec 31, 2021 | 10.16 Bn |
API Access
Rtx Other Accumulated 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-accumulated-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();