Worthington Enterprises (WOR) Asset Utilization Ratio (2010 - 2026)
Worthington Enterprises' (WOR) Asset Utilization Ratio came in at 0.75 for fiscal Q4 2026 (quarter ended May 31, 2026), up 10.1% from 0.68 a year earlier and up 1.4% from the prior quarter.
Worthington Enterprises (WOR) Asset Utilization Ratio (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Worthington Enterprises' Asset Utilization Ratio stood at 0.78, up 12.6% from FY2025.
- Annual Asset Utilization Ratio has increased for four consecutive fiscal years.
- In prior fiscal years, Worthington Enterprises' Asset Utilization Ratio was 0.69 in FY2025 (+47.0%), 0.47 in FY2024 (+21.1%), 0.39 in FY2023 (+4.2%) and 0.37 in FY2022 (-66.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Asset Utilization Ratio since fiscal Q4 2023.
- On a year-over-year basis, Asset Utilization Ratio has increased in each of the last three quarters, with growth averaging 19.2% over the last eight quarters.
- The strongest year-over-year quarter for Asset Utilization Ratio in the past five years was fiscal Q3 2024, with growth of 225.9%; the weakest was fiscal Q3 2023, with a decline of 88.4%.
- According to Business Quant data, Asset Utilization Ratio for the three prior fiscal quarters was 0.74 (Q3 2026), 0.72 (Q2 2026) and 0.70 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 0.95 |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 0.65 |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 0.51 |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 0.59 |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 1.37 |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 0.40 |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.43 |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 0.80 |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 0.83 |
| 10 | Worthington Enterprises | 2.92 Bn | 2.54 Bn | 101.89 Mn | 0.75 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 0.75 |
| Feb 28, 2026 | 0.74 |
| Nov 30, 2025 | 0.72 |
| Aug 31, 2025 | 0.70 |
| May 31, 2025 | 0.68 |
| Feb 28, 2025 | 0.69 |
| Nov 30, 2024 | 0.71 |
| Aug 31, 2024 | 0.73 |
| May 31, 2024 | 0.75 |
| Feb 29, 2024 | 0.49 |
| Nov 30, 2023 | 0.38 |
| Aug 31, 2023 | 0.62 |
| May 31, 2023 | 0.92 |
| Feb 28, 2023 | 0.15 |
| Nov 30, 2022 | 0.45 |
| Aug 31, 2022 | 0.45 |
| May 31, 2022 | 0.35 |
| Feb 28, 2022 | 1.30 |
| Nov 30, 2021 | 1.16 |
| Aug 31, 2021 | 1.03 |
Worthington Enterprises Asset Utilization Ratio 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=asset-utilization-ratio&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();