Worthington Steel (WS) EBITDA (2022 - 2026)
Worthington Steel (WS) posted EBITDA of $83.8 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 22.2% from $68.6 million a year earlier.
Worthington Steel (WS) EBITDA (2022 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EBITDA at Worthington Steel was $98 million, down 55.9% year-over-year; for FY2026 (ended May 31, 2026), it came in at $82.8 million, down 61.1% from FY2025.
- Annual EBITDA shows a four-year compound annual growth rate of -26.7% (FY2022 to FY2026).
- In prior fiscal years, Worthington Steel's EBITDA was $213 million in FY2025 (-18.0%), $259.8 million in FY2024 (+36.8%), $189.9 million in FY2023 (-33.6%) and $286.1 million in FY2022.
- The fiscal Q1 2027 figure stands as the highest quarterly EBITDA since fiscal Q1 2024.
- On a year-over-year basis, EBITDA increased in four of the last seven quarters, with growth averaging 48.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2025, with growth of 363.2%; the weakest was fiscal Q3 2025, with a decline of 57.5%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was -$53.9 million (Q4 2026), $24.7 million (Q3 2026) and $43.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Worthington Steel | 1.97 Bn | 1.84 Bn | 261.20 Mn | 83.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 83.80 Mn |
| May 31, 2026 | -53.90 Mn |
| Feb 28, 2026 | 24.70 Mn |
| Nov 30, 2025 | 43.40 Mn |
| Aug 31, 2025 | 68.60 Mn |
| May 31, 2025 | 83.30 Mn |
| Feb 28, 2025 | 34.90 Mn |
| Nov 30, 2024 | 35.20 Mn |
| Aug 31, 2024 | 59.60 Mn |
| May 31, 2024 | 83.40 Mn |
| Feb 29, 2024 | 82.20 Mn |
| Nov 30, 2023 | 7.60 Mn |
| Aug 31, 2023 | 86.60 Mn |
| May 31, 2023 | 107.00 Mn |
| Feb 28, 2023 | 26.50 Mn |
| Nov 30, 2022 | -2.10 Mn |
Worthington Steel EBITDA 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=ebitda&ticker=WS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "WS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();