Rtx (RTX) Non-Current Debt (2009 - 2026)
Rtx (RTX) posted Non-Current Debt of -$27 million for Q1 2017, compared with $2.32 billion a year earlier.
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Analysis
Rtx (RTX) Non-Current Debt (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2017, Non-Current Debt at Rtx was $2.25 billion, down 3.2% year-over-year.
- Quarterly Non-Current Debt has run from a low of -$1.18 billion in Q2 2013 to a high of $10.85 billion in Q2 2012 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 17.16 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 31.86 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 41.34 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 20.54 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 4.05 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 6.26 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 8.42 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 14.43 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 26.23 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn | 32.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.86 Bn |
| Mar 31, 2026 | 32.97 Bn |
| Dec 31, 2025 | 34.29 Bn |
| Sep 30, 2025 | 38.26 Bn |
| Jun 30, 2025 | 38.26 Bn |
| Mar 31, 2025 | 38.24 Bn |
| Dec 31, 2024 | 38.73 Bn |
| Sep 30, 2024 | 38.82 Bn |
| Jun 30, 2024 | 40.30 Bn |
| Mar 31, 2024 | 42.33 Bn |
| Dec 31, 2023 | 42.36 Bn |
| Sep 30, 2023 | 32.70 Bn |
| Jun 30, 2023 | 32.72 Bn |
| Mar 31, 2023 | 32.72 Bn |
| Dec 31, 2022 | 30.69 Bn |
| Sep 30, 2022 | 31.06 Bn |
| Jun 30, 2022 | 31.27 Bn |
| Mar 31, 2022 | 31.31 Bn |
| Dec 31, 2021 | 31.33 Bn |
| Sep 30, 2021 | 30.77 Bn |
API Access
Rtx Non-Current Debt 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=non-current-debt&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();