Curtiss Wright (CW) Total Liabilities (2009 - 2026)
Curtiss Wright (CW) posted Total Liabilities of $2.69 billion for Q2 2026, up 8.2% from $2.48 billion a year earlier and up 1.8% from the prior quarter.
Analysis
Curtiss Wright (CW) Total Liabilities (2009 - 2026) Analysis & Trends
Since Q4 2009, Curtiss Wright has reported Total Liabilities for 65 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In prior years, Curtiss Wright's Total Liabilities was $2.54 billion in FY2024 (+10.6%), $2.29 billion in FY2023 (-7.1%), $2.47 billion in FY2022 (+8.3%) and $2.28 billion in FY2021 (+1.9%).
- Quarterly Total Liabilities has run from a low of $2.18 billion in Q3 2021 to a high of $2.69 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 15.7%; the weakest was Q3 2023, with a decline of 9.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.64 billion (Q1 2026), $2.69 billion (Q4 2025) and $2.57 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 310.00 Bn | 263.78 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 257.37 Bn | 228.85 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 150.15 Bn | 56.84 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.01 Bn | 112.73 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 92.61 Bn | 79.72 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 83.63 Bn | 79.23 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.31 Bn | 72.65 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 76.23 Bn | 65.48 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.57 Bn | 19.70 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Curtiss Wright | 18.28 Bn | 16.86 Bn | 364.09 Mn | 2.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.69 Bn |
| Mar 31, 2026 | 2.64 Bn |
| Dec 31, 2025 | 2.69 Bn |
| Sep 30, 2025 | 2.57 Bn |
| Jun 30, 2025 | 2.48 Bn |
| Mar 31, 2025 | 2.39 Bn |
| Dec 31, 2024 | 2.54 Bn |
| Sep 30, 2024 | 2.40 Bn |
| Jun 30, 2024 | 2.29 Bn |
| Mar 31, 2024 | 2.23 Bn |
| Dec 31, 2023 | 2.29 Bn |
| Sep 30, 2023 | 2.23 Bn |
| Jun 30, 2023 | 2.30 Bn |
| Mar 31, 2023 | 2.31 Bn |
| Dec 31, 2022 | 2.47 Bn |
| Sep 30, 2022 | 2.46 Bn |
| Jun 30, 2022 | 2.53 Bn |
| Mar 31, 2022 | 2.24 Bn |
| Dec 31, 2021 | 2.28 Bn |
| Sep 30, 2021 | 2.18 Bn |
API Access
Curtiss Wright 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=CW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();