Rtx (RTX) Long-Term Debt Repayments (2016 - 2026)
Rtx (RTX) posted Long-Term Debt Repayments of $2 million for Q3 2026, down 99.9% from $1.5 billion a year earlier and down 91.7% from the prior quarter.
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Analysis
Rtx (RTX) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at Rtx was $1.67 billion, down 46.1% year-over-year; for FY2025, it came in at $3.43 billion, up 37.2% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -26.6% (FY2020 to FY2025).
- In prior years, Rtx's Long-Term Debt Repayments was $2.5 billion in FY2024 (+332.5%), $578 million in FY2023, $3 million in FY2022 (-99.9%) and $4.25 billion in FY2021 (-73.5%).
- The Q3 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q4 2022.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last six quarters, with an average decline of 25.1%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2024, with growth of 98.5%; the weakest was Q4 2022, with a decline of 99.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $24 million (Q2 2026), $500 million (Q1 2026) and $1.14 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.67 Bn | 302.18 Bn | 5.02 Bn | 248.00 Mn |
| 2 | Rtx | 267.14 Bn | 235.41 Bn | 5.81 Bn | 2.00 Mn |
| 3 | Boeing | 139.88 Bn | 48.83 Bn | 2.17 Bn | 39.00 Mn |
| 4 | Lockheed Martin | 137.29 Bn | 121.52 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 98.85 Bn | 84.09 Bn | 2.25 Bn | 500.00 Mn |
| 6 | Howmet Aerospace | 84.91 Bn | 80.66 Bn | 1.00 Bn | - |
| 7 | Motorola Solutions | 81.40 Bn | 77.74 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 74.81 Bn | 62.26 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 73.15 Bn | 32.66 Bn | 2.02 Bn | 1.50 Bn |
| 10 | TransDigm | 69.88 Bn | 57.89 Bn | 1.63 Bn | 28.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.00 Mn |
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 500.00 Mn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.50 Bn |
| Jun 30, 2025 | 780.00 Mn |
| Mar 31, 2025 | 9.00 Mn |
| Dec 31, 2024 | 800.00 Mn |
| Jun 30, 2024 | 750.00 Mn |
| Mar 31, 2024 | 950.00 Mn |
| Dec 31, 2023 | 403.00 Mn |
| Sep 30, 2023 | 172.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Dec 31, 2021 | 1.71 Bn |
| Sep 30, 2021 | 2.24 Bn |
| Jun 30, 2021 | 21.00 Mn |
| Mar 31, 2021 | 286.00 Mn |
| Dec 31, 2020 | 1.03 Bn |
API Access
Rtx Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();