Curtiss Wright (CW) Property, Plant & Equipment (Net) (2009 - 2026)
Curtiss Wright's Property, Plant & Equipment (Net) was $386.46 million in Q2 2026, up 7.4% from $359.68 million a year earlier and up 1.8% from the prior quarter.
Curtiss Wright (CW) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Curtiss Wright came in at $382.2 million, up 12.7% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $339.12 million in FY2024 (+1.9%), $332.8 million in FY2023 (-2.9%), $342.71 million in FY2022 (-4.8%) and $360.03 million in FY2021 (-4.8%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q4 2017.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for seven straight quarters, with growth averaging 7.0% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2025 (growth of 12.7%); the worst was Q3 2022 (a decline of 6.0%).
- Per Business Quant data, CW's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $379.45 million (Q1 2026), $382.2 million (Q4 2025) and $364.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.17 Bn | 253.91 Bn | 5.02 Bn | 8.33 Bn |
| 2 | Rtx | 257.77 Bn | 227.75 Bn | 5.81 Bn | 17.24 Bn |
| 3 | Boeing | 148.82 Bn | 55.52 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 139.64 Bn | 123.87 Bn | 2.44 Bn | 11.52 Bn |
| 5 | General Dynamics | 94.53 Bn | 81.64 Bn | 2.18 Bn | 7.58 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.13 Bn | 1.68 Bn | 1.17 Bn |
| 7 | Northrop Grumman | 78.36 Bn | 65.81 Bn | 2.35 Bn | 10.46 Bn |
| 8 | Howmet Aerospace | 74.35 Bn | 69.95 Bn | 951.00 Mn | 2.82 Bn |
| 9 | Honeywell International | 70.09 Bn | 22.54 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Curtiss Wright | 17.17 Bn | 15.76 Bn | 364.09 Mn | 386.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 386.46 Mn |
| Mar 31, 2026 | 379.45 Mn |
| Dec 31, 2025 | 382.20 Mn |
| Sep 30, 2025 | 364.19 Mn |
| Jun 30, 2025 | 359.68 Mn |
| Mar 31, 2025 | 349.84 Mn |
| Dec 31, 2024 | 339.12 Mn |
| Sep 30, 2024 | 330.29 Mn |
| Jun 30, 2024 | 326.97 Mn |
| Mar 31, 2024 | 329.35 Mn |
| Dec 31, 2023 | 332.80 Mn |
| Sep 30, 2023 | 334.86 Mn |
| Jun 30, 2023 | 340.86 Mn |
| Mar 31, 2023 | 340.31 Mn |
| Dec 31, 2022 | 342.71 Mn |
| Sep 30, 2022 | 338.55 Mn |
| Jun 30, 2022 | 348.06 Mn |
| Mar 31, 2022 | 355.36 Mn |
| Dec 31, 2021 | 360.03 Mn |
| Sep 30, 2021 | 360.31 Mn |
Curtiss Wright Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();