Curtiss Wright (CW) Change in Inventory (2009 - 2026)
Curtiss Wright (CW) recorded Change in Inventory of $27.5 million in Q2 2026, up 16.8% from $23.54 million a year earlier but down 5.0% from the prior quarter.
Curtiss Wright (CW) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, Curtiss Wright's Change in Inventory came in at $62.3 million as of Jun 30, 2026, up 63.9% year-over-year; for FY2025, it was $63.48 million, up 84.0% from FY2024.
- Across earlier years, Change in Inventory came in at $34.5 million in FY2024 (+60.0%), $21.57 million in FY2023 (-65.5%), $62.56 million in FY2022 and -$13.55 million in FY2021.
- Quarterly Change in Inventory has ranged from -$37.18 million in Q4 2024 to $45.85 million in Q1 2024 over the past five years.
- On a year-over-year basis, Change in Inventory rose in three of the last five quarters, with growth averaging 44.7%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 184.9% in Q2 2025, against a decline of 98.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.93 million (Q1 2026), -$22.66 million (Q4 2025) and $28.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 160.00 Mn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | -80.00 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 55.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 31.00 Mn |
| 10 | Curtiss Wright | 18.35 Bn | 16.93 Bn | 364.09 Mn | 27.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.50 Mn |
| Mar 31, 2026 | 28.93 Mn |
| Dec 31, 2025 | -22.66 Mn |
| Sep 30, 2025 | 28.53 Mn |
| Jun 30, 2025 | 23.54 Mn |
| Mar 31, 2025 | 34.08 Mn |
| Dec 31, 2024 | -37.18 Mn |
| Sep 30, 2024 | 17.57 Mn |
| Jun 30, 2024 | 8.26 Mn |
| Mar 31, 2024 | 45.85 Mn |
| Dec 31, 2023 | -35.06 Mn |
| Sep 30, 2023 | 538,000.00 |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | 42.90 Mn |
| Dec 31, 2022 | -26.76 Mn |
| Sep 30, 2022 | 30.70 Mn |
| Jun 30, 2022 | 20.47 Mn |
| Mar 31, 2022 | 38.15 Mn |
| Dec 31, 2021 | -18.60 Mn |
| Sep 30, 2021 | -10.17 Mn |
Curtiss Wright Change in Inventory 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-inventory&ticker=CW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();