Worthington Enterprises (WOR) Asset Utilization Ratio (2010 - 2026)
Worthington Enterprises' (WOR) Asset Utilization Ratio came in at 0.77 for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 10.2% from 0.70 a year earlier and up 2.4% from the prior quarter.
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Analysis
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 Q1 2027 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 four quarters, with growth averaging 18.3% 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 0.75 (Q4 2026), 0.74 (Q3 2026) and 0.72 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 0.97 |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 0.65 |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 0.64 |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 0.58 |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 1.35 |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 0.41 |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 1.43 |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 0.81 |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 0.85 |
| 10 | Worthington Enterprises | 2.94 Bn | 2.67 Bn | 90.90 Mn | 0.77 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 0.77 |
| 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 |
API Access
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_KEYimport 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();