Curtiss Wright (CW) Return on Sales [ROS] (2009 - 2026)
Curtiss Wright's Return on Sales [ROS] was 19.34% in Q2 2026, up 1.51 percentage points from 17.83% a year earlier and up 1.88 percentage points from the prior quarter.
Curtiss Wright (CW) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Curtiss Wright's Return on Sales [ROS] was 18.78% through Jun 30, 2026, up 1.07 percentage points year-over-year; for FY2025, it was 18.11%, up 1.17 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +6.03 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 16.94% in FY2024 (-0.10 pp), 17.03% in FY2023 (+0.47 pp), 16.56% in FY2022 (+1.48 pp) and 15.08% in FY2021 (+3.00 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2023.
- Compared with a year earlier, Return on Sales [ROS] has increased for six straight quarters, with an average year-over-year change of +0.74 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 5.67 percentage points); the worst was Q1 2022 (a drop of 3.43 percentage points).
- Per Business Quant data, CW's Return on Sales [ROS] in the three quarters before Q2 2026 was 17.46% (Q1 2026), 19.19% (Q4 2025) and 19.13% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | Curtiss Wright | 20.16 Bn | 18.74 Bn | 364.09 Mn | 19.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.34% |
| Mar 31, 2026 | 17.46% |
| Dec 31, 2025 | 19.19% |
| Sep 30, 2025 | 19.13% |
| Jun 30, 2025 | 17.83% |
| Mar 31, 2025 | 16.04% |
| Dec 31, 2024 | 18.78% |
| Sep 30, 2024 | 18.14% |
| Jun 30, 2024 | 16.42% |
| Mar 31, 2024 | 14.02% |
| Dec 31, 2023 | 20.45% |
| Sep 30, 2023 | 18.30% |
| Jun 30, 2023 | 16.01% |
| Mar 31, 2023 | 12.46% |
| Dec 31, 2022 | 20.75% |
| Sep 30, 2022 | 17.06% |
| Jun 30, 2022 | 16.10% |
| Mar 31, 2022 | 10.82% |
| Dec 31, 2021 | 15.09% |
| Sep 30, 2021 | 15.74% |
Curtiss Wright Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();