Worthington Enterprises (WOR) Restructuring Costs (2009 - 2026)
Worthington Enterprises (WOR) posted Restructuring Costs of $794,000 for fiscal Q4 2026 (quarter ended May 31, 2026), down 42.1% from $1.37 million a year earlier and down 63.7% from the prior quarter.
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Analysis
Worthington Enterprises (WOR) Restructuring Costs (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Worthington Enterprises' Restructuring Costs came in at $7.1 million, down 32.5% from FY2025.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -33.9% (FY2021 to FY2026).
- In prior fiscal years, Worthington Enterprises' Restructuring Costs was $10.52 million in FY2025 (-64.1%), $29.33 million in FY2024, -$367,000 in FY2023 and -$2.62 million in FY2022.
- The fiscal Q4 2026 figure stands as the lowest quarterly Restructuring Costs since fiscal Q3 2024.
- On a year-over-year basis, Restructuring Costs has declined in each of the last three quarters, with growth averaging 91.6% over the last six quarters.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was fiscal Q3 2025, with growth of 669.9%; the weakest was fiscal Q4 2025, with a decline of 95.2%.
- According to Business Quant data, Restructuring Costs for the three prior fiscal quarters was $2.19 million (Q3 2026), $1.64 million (Q2 2026) and $2.48 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Worthington Enterprises | 2.96 Bn | 2.58 Bn | 101.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 794,000.00 |
| Feb 28, 2026 | 2.19 Mn |
| Nov 30, 2025 | 1.64 Mn |
| Aug 31, 2025 | 2.48 Mn |
| May 31, 2025 | 1.37 Mn |
| Feb 28, 2025 | 5.37 Mn |
| Nov 30, 2024 | 2.62 Mn |
| Aug 31, 2024 | 1.16 Mn |
| May 31, 2024 | 28.62 Mn |
| Feb 29, 2024 | 698,000.00 |
| Nov 30, 2023 | 6,000.00 |
| May 31, 2023 | -13,000.00 |
| Feb 28, 2023 | 823,000.00 |
| Nov 30, 2022 | -4.28 Mn |
| Aug 31, 2022 | -1.10 Mn |
| May 31, 2022 | 12.17 Mn |
| Feb 28, 2022 | -504,000.00 |
| Nov 30, 2021 | -2.00 Mn |
| Aug 31, 2021 | -12.27 Mn |
| May 31, 2021 | 18.44 Mn |
API Access
Worthington Enterprises 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=WOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "WOR", "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=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();