Curtiss Wright (CW) EBITDA (2009 - 2026)
Curtiss Wright (CW) recorded EBITDA of $207.06 million in Q2 2026, up 10.4% from $187.61 million a year earlier and up 10.2% from the prior quarter.
Curtiss Wright (CW) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Curtiss Wright's EBITDA came in at $805.63 million as of Jun 30, 2026, up 14.9% year-over-year; for FY2025, it was $758.34 million, up 19.2% from FY2024.
- Annual EBITDA has increased for five straight years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $636.26 million in FY2024 (+5.9%), $600.77 million in FY2023 (+12.2%), $535.47 million in FY2022 (+8.9%) and $491.51 million in FY2021 (+21.4%).
- Quarterly EBITDA has ranged from $87.87 million in Q1 2022 to $213.26 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for six consecutive quarters, with growth averaging 13.6% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 45.2% in Q4 2022, against a decline of 22.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $187.87 million (Q1 2026), $213.26 million (Q4 2025) and $197.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Curtiss Wright | 19.66 Bn | 18.25 Bn | 364.09 Mn | 207.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 207.06 Mn |
| Mar 31, 2026 | 187.87 Mn |
| Dec 31, 2025 | 213.26 Mn |
| Sep 30, 2025 | 197.44 Mn |
| Jun 30, 2025 | 187.61 Mn |
| Mar 31, 2025 | 160.03 Mn |
| Dec 31, 2024 | 181.66 Mn |
| Sep 30, 2024 | 171.60 Mn |
| Jun 30, 2024 | 156.07 Mn |
| Mar 31, 2024 | 126.94 Mn |
| Dec 31, 2023 | 190.03 Mn |
| Sep 30, 2023 | 161.38 Mn |
| Jun 30, 2023 | 141.82 Mn |
| Mar 31, 2023 | 107.54 Mn |
| Dec 31, 2022 | 185.75 Mn |
| Sep 30, 2022 | 137.46 Mn |
| Jun 30, 2022 | 124.39 Mn |
| Mar 31, 2022 | 87.87 Mn |
| Dec 31, 2021 | 127.96 Mn |
| Sep 30, 2021 | 126.29 Mn |
Curtiss Wright EBITDA 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=ebitda&ticker=CW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();