Woodward (WWD) Other Accumulated Expenses (2010 - 2026)
Woodward (WWD) recorded Other Accumulated Expenses of $43.31 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.6% from $35.91 million a year earlier and up 4.5% from the prior quarter.
Woodward (WWD) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Woodward reported Other Accumulated Expenses of $34.67 million, up 1.5% from FY2024.
- Annual Other Accumulated Expenses has increased for three straight fiscal years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier fiscal years, Other Accumulated Expenses came in at $34.15 million in FY2024 (+0.1%), $34.12 million in FY2023 (+59.4%), $21.41 million in FY2022 (-22.2%) and $27.52 million in FY2021 (+26.8%).
- The fiscal Q3 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2010.
- On a year-over-year basis, Other Accumulated Expenses has increased for 14 consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 82.2% in fiscal Q1 2024, against a decline of 38.3% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $41.43 million (Q2 2026), $37.11 million (Q1 2026) and $34.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 296.44 Bn | 254.96 Bn | 5.02 Bn |
| 2 | Rtx | 258.97 Bn | 227.24 Bn | 5.81 Bn |
| 3 | Boeing | 146.80 Bn | 53.49 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 137.01 Bn | 121.24 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.12 Bn | 81.24 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.04 Bn | 75.38 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 77.42 Bn | 64.88 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 74.83 Bn | 70.43 Bn | 951.00 Mn |
| 9 | Honeywell International | 68.88 Bn | 21.00 Bn | 3.65 Bn |
| 10 | Woodward | 17.90 Bn | 16.14 Bn | 349.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.31 Mn |
| Mar 31, 2026 | 41.43 Mn |
| Dec 31, 2025 | 37.11 Mn |
| Sep 30, 2025 | 34.67 Mn |
| Jun 30, 2025 | 35.91 Mn |
| Mar 31, 2025 | 38.11 Mn |
| Dec 31, 2024 | 34.49 Mn |
| Sep 30, 2024 | 34.15 Mn |
| Jun 30, 2024 | 35.29 Mn |
| Mar 31, 2024 | 36.28 Mn |
| Dec 31, 2023 | 33.12 Mn |
| Sep 30, 2023 | 34.12 Mn |
| Jun 30, 2023 | 26.87 Mn |
| Mar 31, 2023 | 22.48 Mn |
| Dec 31, 2022 | 18.18 Mn |
| Sep 30, 2022 | 21.41 Mn |
| Jun 30, 2022 | 21.66 Mn |
| Mar 31, 2022 | 20.30 Mn |
| Dec 31, 2021 | 29.49 Mn |
| Sep 30, 2021 | 27.52 Mn |
Woodward Other 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=other-accumulated-expenses&ticker=WWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=WWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();