Worthington Steel (WS) Total Non-Current Liabilities (2023 - 2026)
Worthington Steel's Total Non-Current Liabilities came in at $1 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 37.2% from $731.1 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Worthington Steel (WS) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
Going back to fiscal Q4 2023, Worthington Steel's Total Non-Current Liabilities data covers 12 quarters.
- Total Non-Current Liabilities has increased in each of the last three fiscal years, with a three-year compound annual growth rate of 20.3% (FY2023 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $731.1 million in FY2025 (+2.3%), $714.6 million in FY2024 (+24.0%) and $576.2 million in FY2023.
- The fiscal Q4 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2023.
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 23.5% over the last seven quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2026 (growth of 60.7%), and the weakest in fiscal Q2 2025 (a decline of 19.2%).
- Business Quant data shows WS's Total Non-Current Liabilities at $997.6 million (Q3 2026), $849.6 million (Q2 2026) and $961.3 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 23.79 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 7.65 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 10.73 Bn |
| 10 | Worthington Steel | 2.06 Bn | 1.72 Bn | 118.80 Mn | 1.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.00 Bn |
| Feb 28, 2026 | 997.60 Mn |
| Nov 30, 2025 | 849.60 Mn |
| Aug 31, 2025 | 961.30 Mn |
| May 31, 2025 | 731.10 Mn |
| Feb 28, 2025 | 620.80 Mn |
| Nov 30, 2024 | 558.90 Mn |
| Aug 31, 2024 | 651.40 Mn |
| May 31, 2024 | 714.60 Mn |
| Feb 29, 2024 | 740.50 Mn |
| Nov 30, 2023 | 691.30 Mn |
| May 31, 2023 | 576.20 Mn |
API Access
Worthington Steel Total Non-Current 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-non-current-liabilities&ticker=WS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();