Worthington Enterprises (WOR) Cash & Equivalents (2009 - 2026)
Worthington Enterprises' Cash & Equivalents was $27.73 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 88.9% from $250.08 million a year earlier but up 363.7% from the prior quarter.
Worthington Enterprises (WOR) Cash & Equivalents (2009 - 2026) Analysis & Trends
From fiscal Q1 2010 onward, Worthington Enterprises has reported Cash & Equivalents for 68 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of -46.6% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $250.08 million in FY2025 (+2.4%), $244.23 million in FY2024 (-42.2%), $422.27 million in FY2023 and $34.49 million in FY2022 (-94.6%).
- Quarterly Cash & Equivalents has moved between $5.98 million (fiscal Q3 2026) and $430.91 million (fiscal Q2 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for four straight quarters, with an average decline of 33.2% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2023 (growth of 502.9%); the worst was fiscal Q3 2026 (a decline of 97.3%).
- Per Business Quant data, WOR's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $5.98 million (Q3 2026), $180.29 million (Q2 2026) and $167.12 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Worthington Enterprises | 2.95 Bn | 2.57 Bn | 101.89 Mn | 27.73 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 27.73 Mn |
| Feb 28, 2026 | 5.98 Mn |
| Nov 30, 2025 | 180.29 Mn |
| Aug 31, 2025 | 167.12 Mn |
| May 31, 2025 | 250.08 Mn |
| Feb 28, 2025 | 222.84 Mn |
| Nov 30, 2024 | 193.81 Mn |
| Aug 31, 2024 | 178.55 Mn |
| May 31, 2024 | 244.23 Mn |
| Feb 29, 2024 | 227.31 Mn |
| Nov 30, 2023 | 430.91 Mn |
| Aug 31, 2023 | 201.01 Mn |
| May 31, 2023 | 422.27 Mn |
| Feb 28, 2023 | 267.24 Mn |
| Nov 30, 2022 | 129.60 Mn |
| Aug 31, 2022 | 35.77 Mn |
| May 31, 2022 | 34.49 Mn |
| Feb 28, 2022 | 44.32 Mn |
| Nov 30, 2021 | 225.19 Mn |
| Aug 31, 2021 | 399.25 Mn |
Worthington Enterprises Cash & Equivalents 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=cash-and-equivalents&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();