Rtx (RTX) Total Liabilities (2009 - 2026)
Rtx's Total Liabilities came in at $105.86 billion for Q2 2026, up 2.8% from $102.93 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Rtx (RTX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Rtx's Total Liabilities was $103.98 billion, up 3.0% from FY2024.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $100.94 billion in FY2024 (+0.5%), $100.46 billion in FY2023 (+18.6%), $84.69 billion in FY2022 (-2.4%) and $86.74 billion in FY2021 (-1.8%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q2 2009.
- Year-over-year, Total Liabilities has increased for 14 consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 18.6%), and the weakest in Q3 2021 (a decline of 7.0%).
- Business Quant data shows RTX's Total Liabilities at $102.43 billion (Q1 2026), $103.98 billion (Q4 2025) and $102.31 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 58.49 Bn |
| 10 | TransDigm | 65.48 Bn | 53.49 Bn | 1.63 Bn | 36.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.86 Bn |
| Mar 31, 2026 | 102.43 Bn |
| Dec 31, 2025 | 103.98 Bn |
| Sep 30, 2025 | 102.31 Bn |
| Jun 30, 2025 | 102.93 Bn |
| Mar 31, 2025 | 101.56 Bn |
| Dec 31, 2024 | 100.94 Bn |
| Sep 30, 2024 | 102.00 Bn |
| Jun 30, 2024 | 100.52 Bn |
| Mar 31, 2024 | 98.09 Bn |
| Dec 31, 2023 | 100.46 Bn |
| Sep 30, 2023 | 91.23 Bn |
| Jun 30, 2023 | 88.11 Bn |
| Mar 31, 2023 | 87.29 Bn |
| Dec 31, 2022 | 84.69 Bn |
| Sep 30, 2022 | 86.49 Bn |
| Jun 30, 2022 | 87.03 Bn |
| Mar 31, 2022 | 85.38 Bn |
| Dec 31, 2021 | 86.74 Bn |
| Sep 30, 2021 | 85.84 Bn |
API Access
Rtx Total 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-liabilities&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();