Worthington Enterprises (WOR) Restructuring Costs (2009 - 2026)
Worthington Enterprises (WOR) posted Restructuring Costs of $717,000 for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 71.0% from $2.48 million a year earlier and down 9.7% from the prior quarter.
Worthington Enterprises (WOR) Restructuring Costs (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Restructuring Costs at Worthington Enterprises was $5.34 million, down 54.9% year-over-year; for FY2026 (ended May 31, 2026), it 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 Q1 2027 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 four quarters, with growth averaging 68.4% over the last seven 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 $794,000 (Q4 2026), $2.19 million (Q3 2026) and $1.64 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn |
| 10 | Worthington Enterprises | 3.08 Bn | 2.81 Bn | 90.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 717,000.00 |
| 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 |
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();