Woodward (WWD) Restructuring Costs (2015 - 2026)
Woodward (WWD) recorded Restructuring Costs of $9.26 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 35.9% from the prior quarter.
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Analysis
Woodward (WWD) Restructuring Costs (2015 - 2026) Analysis & Trends
On a TTM basis, Woodward's Restructuring Costs came in at $21.25 million as of Jun 30, 2026; for FY2023 (ended Sep 30, 2023), it came in at $5.17 million.
- Annual Restructuring Costs has a five-year compound annual growth rate of -21.2% (FY2018 to FY2023).
- Across earlier fiscal years, Restructuring Costs came in at -$3.42 million in FY2022, $5.01 million in FY2021 (-77.5%) and $22.22 million in FY2020.
- The fiscal Q3 2026 figure is the highest quarterly Restructuring Costs since fiscal Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Woodward | 19.25 Bn | 17.49 Bn | 349.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.26 Mn |
| Mar 31, 2026 | 6.82 Mn |
| Mar 31, 2023 | 5.17 Mn |
| Jun 30, 2020 | 19.04 Mn |
| Mar 31, 2018 | 17.01 Mn |
| Dec 31, 2015 | 8.17 Mn |
API Access
Woodward Restructuring Costs 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=restructuring-costs&ticker=WWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=WWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();