Curtiss Wright (CW) Buildings (2010 - 2025)
Curtiss Wright (CW) recorded Buildings of $260.83 million in Q4 2025, up 3.8% from $251.23 million a year earlier.
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Analysis
Curtiss Wright (CW) Buildings (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Curtiss Wright's Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $251.23 million in FY2024 (-0.9%), $253.41 million in FY2023 (+0.3%), $252.71 million in FY2022 (+5.6%) and $239.22 million in FY2021 (+1.2%).
- The Q4 2025 figure is the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn |
| 10 | Curtiss Wright | 18.31 Bn | 16.89 Bn | 364.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 260.83 Mn |
| Dec 31, 2024 | 251.23 Mn |
| Dec 31, 2023 | 253.41 Mn |
| Dec 31, 2022 | 252.71 Mn |
| Dec 31, 2021 | 239.22 Mn |
| Dec 31, 2020 | 236.36 Mn |
| Dec 31, 2019 | 234.11 Mn |
| Dec 31, 2018 | 226.74 Mn |
| Dec 31, 2017 | 234.54 Mn |
| Dec 31, 2016 | 215.22 Mn |
| Dec 31, 2015 | 218.02 Mn |
| Dec 31, 2014 | 219.22 Mn |
| Dec 31, 2013 | 218.55 Mn |
| Dec 31, 2012 | 205.31 Mn |
| Dec 31, 2011 | 187.20 Mn |
| Dec 31, 2010 | 175.83 Mn |
API Access
Curtiss Wright Buildings 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=buildings&ticker=CW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();