Worthington Enterprises (WOR) Inventory (2010 - 2026)
Worthington Enterprises (WOR) posted Inventory of $222.59 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 10.4% from $201.56 million a year earlier and up 7.4% from the prior quarter.
Worthington Enterprises (WOR) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Worthington Enterprises' Inventory came in at $207.3 million, up 22.4% from FY2025.
- Annual Inventory shows a five-year compound annual growth rate of -18.2% (FY2021 to FY2026).
- In prior fiscal years, Worthington Enterprises' Inventory was $169.39 million in FY2025 (+2.9%), $164.62 million in FY2024 (-15.4%), $194.5 million in FY2023 (-74.4%) and $759.14 million in FY2022 (+34.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Inventory since fiscal Q2 2024.
- On a year-over-year basis, Inventory has increased in each of the last six quarters, with an average decline of 1.2% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q2 2022, with growth of 175.8%; the weakest was fiscal Q4 2023, with a decline of 74.4%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $207.3 million (Q4 2026), $197.59 million (Q3 2026) and $198.44 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 2.62 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 1.96 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 104.80 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 2.76 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 686.00 Mn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 612.10 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 1.06 Bn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 492.70 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 541.90 Mn |
| 10 | Worthington Enterprises | 3.10 Bn | 2.83 Bn | 90.90 Mn | 222.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 222.59 Mn |
| May 31, 2026 | 207.30 Mn |
| Feb 28, 2026 | 197.59 Mn |
| Nov 30, 2025 | 198.44 Mn |
| Aug 31, 2025 | 201.56 Mn |
| May 31, 2025 | 169.39 Mn |
| Feb 28, 2025 | 165.34 Mn |
| Nov 30, 2024 | 179.46 Mn |
| Aug 31, 2024 | 187.30 Mn |
| May 31, 2024 | 164.62 Mn |
| Feb 29, 2024 | 191.72 Mn |
| Nov 30, 2023 | 576.41 Mn |
| Aug 31, 2023 | 672.30 Mn |
| May 31, 2023 | 194.50 Mn |
| Feb 28, 2023 | 601.12 Mn |
| Nov 30, 2022 | 654.62 Mn |
| Aug 31, 2022 | 727.14 Mn |
| May 31, 2022 | 759.14 Mn |
| Feb 28, 2022 | 869.20 Mn |
| Nov 30, 2021 | 839.59 Mn |
Worthington Enterprises Inventory 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=inventory&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();