Rtx (RTX) Change in Other Operating Liabilities (2009 - 2026)
Rtx (RTX) posted Change in Other Operating Liabilities of -$980 million for Q3 2026, compared with $986 million a year earlier.
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Analysis
Rtx (RTX) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Other Operating Liabilities at Rtx was $756 million, down 62.3% year-over-year; for FY2025, it came in at $2.77 billion, up 48.1% from FY2024.
- Annual Change in Other Operating Liabilities shows a five-year compound annual growth rate of 92.8% (FY2020 to FY2025).
- In prior years, Rtx's Change in Other Operating Liabilities was $1.87 billion in FY2024 (-19.4%), $2.32 billion in FY2023 (+174.5%), $846 million in FY2022 (-38.3%) and $1.37 billion in FY2021.
- The Q3 2026 figure stands as the lowest quarterly Change in Other Operating Liabilities since Q3 2017.
- On a year-over-year basis, Change in Other Operating Liabilities increased in two of the last four quarters, with growth averaging 4.7%.
- The strongest year-over-year quarter for Change in Other Operating Liabilities in the past five years was Q3 2023, with growth of 596.0%; the weakest was Q3 2022, with a decline of 80.5%.
- According to Business Quant data, Change in Other Operating Liabilities for the three prior quarters was $198 million (Q2 2026), $94 million (Q1 2026) and $1.44 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 327.28 Bn | 285.80 Bn | 5.02 Bn | 934.00 Mn |
| 2 | Rtx | 273.71 Bn | 241.98 Bn | 5.81 Bn | -980.00 Mn |
| 3 | Lockheed Martin | 148.31 Bn | 132.54 Bn | 2.44 Bn | 493.00 Mn |
| 4 | Boeing | 139.09 Bn | 48.05 Bn | 2.17 Bn | 3.37 Bn |
| 5 | General Dynamics | 100.93 Bn | 88.04 Bn | 2.18 Bn | 404.00 Mn |
| 6 | Howmet Aerospace | 84.90 Bn | 80.65 Bn | 1.00 Bn | 62.00 Mn |
| 7 | Motorola Solutions | 80.92 Bn | 77.27 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 79.11 Bn | 66.57 Bn | 2.35 Bn | 15.00 Mn |
| 9 | Honeywell International | 71.03 Bn | 71.03 Bn | - | - |
| 10 | TransDigm | 69.62 Bn | 57.62 Bn | 1.63 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -980.00 Mn |
| Jun 30, 2026 | 198.00 Mn |
| Mar 31, 2026 | 94.00 Mn |
| Dec 31, 2025 | 1.44 Bn |
| Sep 30, 2025 | 986.00 Mn |
| Jun 30, 2025 | -30.00 Mn |
| Mar 31, 2025 | 373.00 Mn |
| Dec 31, 2024 | 676.00 Mn |
| Sep 30, 2024 | 684.00 Mn |
| Jun 30, 2024 | 566.00 Mn |
| Mar 31, 2024 | -54.00 Mn |
| Dec 31, 2023 | 1.89 Bn |
| Sep 30, 2023 | 174.00 Mn |
| Jun 30, 2023 | 32.00 Mn |
| Mar 31, 2023 | 223.00 Mn |
| Dec 31, 2022 | 1.13 Bn |
| Sep 30, 2022 | 25.00 Mn |
| Jun 30, 2022 | -259.00 Mn |
| Mar 31, 2022 | -50.00 Mn |
| Dec 31, 2021 | 1.29 Bn |
API Access
Rtx Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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=change-in-other-operating-liabilities&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();