Worthington Steel (WS) Total Liabilities (2023 - 2026)
Worthington Steel (WS) posted Total Liabilities of $4.39 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 334.2% from $1.01 billion a year earlier and up 315.8% from the prior quarter.
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Analysis
Worthington Steel (WS) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Worthington Steel's Total Liabilities came in at $1.05 billion, up 38.1% from FY2025.
- Annual Total Liabilities has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 20.0% (FY2023 to FY2026).
- In prior fiscal years, Worthington Steel's Total Liabilities was $763.9 million in FY2025 (+2.0%), $748.9 million in FY2024 (+22.8%) and $609.8 million in FY2023.
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2023.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 62.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2027, with growth of 334.2%; the weakest was fiscal Q2 2025, with a decline of 18.1%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.05 billion (Q4 2026), $1.05 billion (Q3 2026) and $901.3 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Worthington Steel | 1.97 Bn | 1.84 Bn | 261.20 Mn | 4.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 4.39 Bn |
| May 31, 2026 | 1.05 Bn |
| Feb 28, 2026 | 1.05 Bn |
| Nov 30, 2025 | 901.30 Mn |
| Aug 31, 2025 | 1.01 Bn |
| May 31, 2025 | 763.90 Mn |
| Feb 28, 2025 | 656.60 Mn |
| Nov 30, 2024 | 594.20 Mn |
| Aug 31, 2024 | 686.20 Mn |
| May 31, 2024 | 748.90 Mn |
| Feb 29, 2024 | 778.70 Mn |
| Nov 30, 2023 | 725.90 Mn |
| May 31, 2023 | 609.80 Mn |
API Access
Worthington Steel Total Liabilities 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=total-liabilities&ticker=WS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();