Worthington Steel (WS) Total Liabilities (2023 - 2026)
Worthington Steel (WS) posted Total Liabilities of $1.05 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 38.1% from $763.9 million a year earlier and unchanged from the prior quarter.
Worthington Steel (WS) Total Liabilities (2023 - 2026) Analysis & Trends
Since fiscal Q4 2023, Worthington Steel has reported Total Liabilities for 12 quarters.
- 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.
- Quarterly Total Liabilities has run from a low of $594.2 million in fiscal Q2 2025 to a high of $1.05 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 23.7% over the last seven quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2026, with growth of 60.7%; 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 (Q3 2026), $901.3 million (Q2 2026) and $1.01 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 13.60 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 11.14 Bn |
| 10 | Worthington Steel | 2.06 Bn | 1.72 Bn | 118.80 Mn | 1.05 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
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_KEY
import 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();