Rtx (RTX) Total Non-Current Liabilities (2009 - 2026)
Rtx (RTX) posted Total Non-Current Liabilities of $82 million for Q3 2026, down 24.8% from $109 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Rtx (RTX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Rtx's Total Non-Current Liabilities came in at $116 million, down 17.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, Rtx's Total Non-Current Liabilities was $140 million in FY2024 (+351.6%), $31 million in FY2023 (+63.2%), $19 million in FY2022 (-64.8%) and $54 million in FY2021 (-39.3%).
- The Q3 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last five quarters, with growth averaging 37.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2023, with growth of 371.4%; the weakest was Q3 2022, with a decline of 70.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $86 million (Q2 2026), $104 million (Q1 2026) and $116 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 348.08 Bn | 306.60 Bn | 5.02 Bn | 95.58 Bn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn | 82.00 Mn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn | 161.64 Bn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn | 48.98 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | 14.09 Bn |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn | 15.89 Bn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn | 6.79 Bn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn | 31.46 Bn |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn | 26.94 Bn |
| 10 | TransDigm | 70.04 Bn | 58.05 Bn | 1.63 Bn | 36.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 82.00 Mn |
| Jun 30, 2026 | 86.00 Mn |
| Mar 31, 2026 | 104.00 Mn |
| Dec 31, 2025 | 116.00 Mn |
| Sep 30, 2025 | 109.00 Mn |
| Jun 30, 2025 | 123.00 Mn |
| Mar 31, 2025 | 132.00 Mn |
| Dec 31, 2024 | 140.00 Mn |
| Sep 30, 2024 | 143.00 Mn |
| Jun 30, 2024 | 111.00 Mn |
| Mar 31, 2024 | 84.00 Mn |
| Dec 31, 2023 | 31.00 Mn |
| Sep 30, 2023 | 99.00 Mn |
| Jun 30, 2023 | 24.00 Mn |
| Mar 31, 2023 | 33.00 Mn |
| Dec 31, 2022 | 19.00 Mn |
| Sep 30, 2022 | 21.00 Mn |
| Jun 30, 2022 | 22.00 Mn |
| Mar 31, 2022 | 35.00 Mn |
| Dec 31, 2021 | 54.00 Mn |
API Access
Rtx Total Non-Current 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=total-non-current-liabilities&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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=total-non-current-liabilities&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();