Woodward (WWD) Operating Expenses (2009 - 2026)
Woodward (WWD) recorded Operating Expenses of $165.05 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 27.2% from $129.79 million a year earlier and up 6.3% from the prior quarter.
Woodward (WWD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Woodward's Operating Expenses came in at $579.63 million as of Jun 30, 2026, up 25.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $477.39 million, up 6.5% from FY2024.
- Annual Operating Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $448.18 million in FY2024 (+10.1%), $406.96 million in FY2023 (+27.4%), $319.37 million in FY2022 (+3.4%) and $308.97 million in FY2021 (-17.2%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 54.9% in fiscal Q2 2023, against a decline of 5.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $155.22 million (Q2 2026), $132.74 million (Q1 2026) and $126.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 2.35 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 | 12.63 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 156.00 Mn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Woodward | 19.27 Bn | 17.52 Bn | 349.91 Mn | 165.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.05 Mn |
| Mar 31, 2026 | 155.22 Mn |
| Dec 31, 2025 | 132.74 Mn |
| Sep 30, 2025 | 126.63 Mn |
| Jun 30, 2025 | 129.79 Mn |
| Mar 31, 2025 | 121.07 Mn |
| Dec 31, 2024 | 99.90 Mn |
| Sep 30, 2024 | 112.42 Mn |
| Jun 30, 2024 | 112.54 Mn |
| Mar 31, 2024 | 117.91 Mn |
| Dec 31, 2023 | 105.31 Mn |
| Sep 30, 2023 | 98.01 Mn |
| Jun 30, 2023 | 100.02 Mn |
| Mar 31, 2023 | 118.53 Mn |
| Dec 31, 2022 | 91.82 Mn |
| Sep 30, 2022 | 79.87 Mn |
| Jun 30, 2022 | 78.71 Mn |
| Mar 31, 2022 | 76.51 Mn |
| Dec 31, 2021 | 87.70 Mn |
| Sep 30, 2021 | 66.11 Mn |
Woodward Operating Expenses 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=operating-expenses&ticker=WWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();