Woodward (WWD) Accumulated Expenses (2009 - 2026)
Woodward (WWD) posted Accumulated Expenses of $299.26 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 14.5% from $261.38 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Woodward (WWD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Woodward's Accumulated Expenses came in at $313.08 million, up 7.0% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In prior fiscal years, Woodward's Accumulated Expenses was $292.64 million in FY2024 (+11.4%), $262.62 million in FY2023 (+27.3%), $206.28 million in FY2022 (+12.6%) and $183.14 million in FY2021 (+20.6%).
- Quarterly Accumulated Expenses has run from a low of $146.21 million in fiscal Q1 2022 to a high of $313.08 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 16 quarters, with growth averaging 9.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2023, with growth of 37.5%; the weakest was fiscal Q1 2022, with a decline of 6.2%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $281.46 million (Q2 2026), $245.69 million (Q1 2026) and $313.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Woodward | 19.32 Bn | 17.57 Bn | 349.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 299.26 Mn |
| Mar 31, 2026 | 281.46 Mn |
| Dec 31, 2025 | 245.69 Mn |
| Sep 30, 2025 | 313.08 Mn |
| Jun 30, 2025 | 261.38 Mn |
| Mar 31, 2025 | 242.29 Mn |
| Dec 31, 2024 | 228.75 Mn |
| Sep 30, 2024 | 292.64 Mn |
| Jun 30, 2024 | 248.44 Mn |
| Mar 31, 2024 | 236.94 Mn |
| Dec 31, 2023 | 211.66 Mn |
| Sep 30, 2023 | 262.62 Mn |
| Jun 30, 2023 | 220.93 Mn |
| Mar 31, 2023 | 206.39 Mn |
| Dec 31, 2022 | 191.38 Mn |
| Sep 30, 2022 | 206.28 Mn |
| Jun 30, 2022 | 160.70 Mn |
| Mar 31, 2022 | 162.34 Mn |
| Dec 31, 2021 | 146.21 Mn |
| Sep 30, 2021 | 183.14 Mn |
API Access
Woodward Accumulated 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=accumulated-expenses&ticker=WWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();