Curtiss Wright (CW) Change in Accured Expenses (2009 - 2026)
Curtiss Wright (CW) posted Change in Accured Expenses of $23.47 million for Q2 2026, compared with -$4.12 million a year earlier.
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Analysis
Curtiss Wright (CW) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Curtiss Wright was $76.63 million, up 145.2% year-over-year; for FY2025, it was $73.93 million, up 361.4% from FY2024.
- In prior years, Curtiss Wright's Change in Accured Expenses was $16.02 million in FY2024, -$15.78 million in FY2023, $98.34 million in FY2022 (+455.2%) and $17.71 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$85.44 million in Q1 2023 to a high of $140.7 million in Q4 2022 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2021, with growth of 166.8%; the weakest was Q4 2023, with a decline of 81.3%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$60.85 million (Q1 2026), $45.45 million (Q4 2025) and $68.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | - |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 41.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Curtiss Wright | 18.35 Bn | 16.93 Bn | 364.09 Mn | 23.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.47 Mn |
| Mar 31, 2026 | -60.85 Mn |
| Dec 31, 2025 | 45.45 Mn |
| Sep 30, 2025 | 68.56 Mn |
| Jun 30, 2025 | -4.12 Mn |
| Mar 31, 2025 | -35.97 Mn |
| Dec 31, 2024 | 31.23 Mn |
| Sep 30, 2024 | 40.10 Mn |
| Jun 30, 2024 | -20.49 Mn |
| Mar 31, 2024 | -34.82 Mn |
| Dec 31, 2023 | 26.24 Mn |
| Sep 30, 2023 | 30.00 Mn |
| Jun 30, 2023 | 13.42 Mn |
| Mar 31, 2023 | -85.44 Mn |
| Dec 31, 2022 | 140.70 Mn |
| Sep 30, 2022 | 13.05 Mn |
| Jun 30, 2022 | 17.16 Mn |
| Mar 31, 2022 | -72.57 Mn |
| Dec 31, 2021 | 69.42 Mn |
| Sep 30, 2021 | 6.52 Mn |
API Access
Curtiss Wright Change in Accured Expenses 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=change-in-accured-expenses&ticker=CW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();