Worthington Enterprises (WOR) Operating Leases (2019 - 2026)
Worthington Enterprises' Operating Leases was $34.03 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 4.1% from $32.69 million a year earlier but down 5.2% from the prior quarter.
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Analysis
Worthington Enterprises (WOR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Operating Leases at Worthington Enterprises came in at $35.88 million, up 109.0% from FY2025.
- Operating Leases shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $17.17 million in FY2025 (+34.0%), $12.82 million in FY2024 (-30.1%), $18.33 million in FY2023 (-79.2%) and $88.18 million in FY2022 (+222.1%).
- Quarterly Operating Leases has moved between $12.82 million (fiscal Q4 2024) and $93.51 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Operating Leases has increased for seven straight quarters, with growth averaging 43.0% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q2 2022 (growth of 254.0%); the worst was fiscal Q3 2024 (a decline of 83.7%).
- Per Business Quant data, WOR's Operating Leases in the three fiscal quarters before Q1 2027 was $35.88 million (Q4 2026), $37.68 million (Q3 2026) and $31.94 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Worthington Enterprises | 3.10 Bn | 2.83 Bn | 90.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 34.03 Mn |
| May 31, 2026 | 35.88 Mn |
| Feb 28, 2026 | 37.68 Mn |
| Nov 30, 2025 | 31.94 Mn |
| Aug 31, 2025 | 32.69 Mn |
| May 31, 2025 | 17.17 Mn |
| Feb 28, 2025 | 16.60 Mn |
| Nov 30, 2024 | 18.09 Mn |
| Aug 31, 2024 | 20.17 Mn |
| May 31, 2024 | 12.82 Mn |
| Feb 29, 2024 | 15.10 Mn |
| Nov 30, 2023 | 85.28 Mn |
| Aug 31, 2023 | 87.63 Mn |
| May 31, 2023 | 18.33 Mn |
| Feb 28, 2023 | 92.48 Mn |
| Nov 30, 2022 | 93.51 Mn |
| Aug 31, 2022 | 92.76 Mn |
| May 31, 2022 | 88.18 Mn |
| Feb 28, 2022 | 86.57 Mn |
| Nov 30, 2021 | 83.89 Mn |
API Access
Worthington Enterprises Operating Leases 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=operating-leases&ticker=WOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();