Woodward (WWD) Return on Sales [ROS] (2009 - 2026)
Woodward (WWD) recorded Return on Sales [ROS] of 16.66% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.62 percentage points from 13.04% a year earlier and up 1.92 percentage points from the prior quarter.
Woodward (WWD) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Woodward's Return on Sales [ROS] came in at 15.64% as of Jun 30, 2026, up 3.28 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 13.43%, up 0.54 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight fiscal years, with a five-year change of +2.72 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 12.88% in FY2024 (+3.60 pp), 9.29% in FY2023 (+0.64 pp), 8.64% in FY2022 (-2.14 pp) and 10.78% in FY2021 (+0.07 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q3 2009.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +1.30 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 8.30 percentage points in fiscal Q2 2024, against a drop of 4.05 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 14.73% (Q2 2026), 16.00% (Q1 2026) and 15.15% (Q4 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 | Woodward | 19.58 Bn | 17.82 Bn | 349.91 Mn | 16.66% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.66% |
| Mar 31, 2026 | 14.73% |
| Dec 31, 2025 | 16.00% |
| Sep 30, 2025 | 15.15% |
| Jun 30, 2025 | 13.04% |
| Mar 31, 2025 | 13.47% |
| Dec 31, 2024 | 11.61% |
| Sep 30, 2024 | 11.16% |
| Jun 30, 2024 | 13.85% |
| Mar 31, 2024 | 13.94% |
| Dec 31, 2023 | 12.59% |
| Sep 30, 2023 | 11.78% |
| Jun 30, 2023 | 13.04% |
| Mar 31, 2023 | 5.64% |
| Dec 31, 2022 | 5.52% |
| Sep 30, 2022 | 8.70% |
| Jun 30, 2022 | 8.99% |
| Mar 31, 2022 | 9.70% |
| Dec 31, 2021 | 6.41% |
| Sep 30, 2021 | 11.87% |
Woodward 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=WWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WWD", "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=WWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();