Curtiss Wright (CW) Total Non-Current Liabilities (2009 - 2026)
Curtiss Wright (CW) reported Total Non-Current Liabilities of $2.58 billion for Q2 2026, up 8.7% from $2.37 billion a year earlier and up 1.5% from the prior quarter.
Curtiss Wright (CW) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Curtiss Wright posted Total Non-Current Liabilities of $2.57 billion, up 6.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.41 billion in FY2024 (+10.9%), $2.17 billion in FY2023 (-7.8%), $2.36 billion in FY2022 (+9.0%) and $2.16 billion in FY2021 (+1.6%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last eight quarters, with growth averaging 8.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2022 (growth of 13.2%); the low point was Q3 2023 (a decline of 9.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.54 billion (Q1 2026), $2.57 billion (Q4 2025) and $2.45 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Curtiss Wright | 19.66 Bn | 18.25 Bn | 364.09 Mn | 2.58 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.58 Bn |
| Mar 31, 2026 | 2.54 Bn |
| Dec 31, 2025 | 2.57 Bn |
| Sep 30, 2025 | 2.45 Bn |
| Jun 30, 2025 | 2.37 Bn |
| Mar 31, 2025 | 2.28 Bn |
| Dec 31, 2024 | 2.41 Bn |
| Sep 30, 2024 | 2.29 Bn |
| Jun 30, 2024 | 2.19 Bn |
| Mar 31, 2024 | 2.14 Bn |
| Dec 31, 2023 | 2.17 Bn |
| Sep 30, 2023 | 2.13 Bn |
| Jun 30, 2023 | 2.21 Bn |
| Mar 31, 2023 | 2.22 Bn |
| Dec 31, 2022 | 2.36 Bn |
| Sep 30, 2022 | 2.36 Bn |
| Jun 30, 2022 | 2.29 Bn |
| Mar 31, 2022 | 2.15 Bn |
| Dec 31, 2021 | 2.16 Bn |
| Sep 30, 2021 | 2.08 Bn |
Curtiss Wright 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=CW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CW", "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=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();