Rtx (RTX) Long-Term Debt Repayments (2016 - 2026)
Rtx (RTX) posted Long-Term Debt Repayments of $24 million for Q2 2026, down 96.9% from $780 million a year earlier and down 95.2% from the prior quarter.
Powered by 
Analysis
Rtx (RTX) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Rtx was $3.16 billion, up 99.1% 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 Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last five quarters, with an average decline of 10.2%.
- 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 $500 million (Q1 2026), $1.14 billion (Q4 2025) and $1.5 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn | 966.00 Mn |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn | 24.00 Mn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn | 168.00 Mn |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn | 500.00 Mn |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn | 186.00 Mn |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn | 582.00 Mn |
| 10 | TransDigm | 63.64 Bn | 51.65 Bn | 1.63 Bn | 28.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2020 | 14.00 Mn |
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();