Worthington Enterprises (WOR) Tax Provisions (2009 - 2026)
Worthington Enterprises' Tax Provisions was $13.03 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 20.0% from $10.86 million a year earlier and up 11.3% from the prior quarter.
Worthington Enterprises (WOR) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Worthington Enterprises' Tax Provisions was $48.48 million through Aug 31, 2026, up 27.9% year-over-year; for FY2026 (ended May 31, 2026), it came in at $46.31 million, up 36.9% from FY2025.
- Tax Provisions shows a five-year compound annual growth rate of -23.5% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $33.84 million in FY2025 (-13.3%), $39.03 million in FY2024 (+13.0%), $34.54 million in FY2023 (-34.5%) and $52.7 million in FY2022 (-70.1%).
- Quarterly Tax Provisions has moved between -$37.36 million (fiscal Q4 2022) and $31.23 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Tax Provisions has increased for three straight quarters, with growth averaging 30.2% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q3 2022 (growth of 316.6%); the worst was fiscal Q2 2023 (a decline of 86.8%).
- Per Business Quant data, WOR's Tax Provisions in the three fiscal quarters before Q1 2027 was $11.71 million (Q4 2026), $14.99 million (Q3 2026) and $8.75 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 219.90 Mn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 177.00 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 146.01 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 126.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 77.60 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 82.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 46.90 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 62.50 Mn |
| 10 | Worthington Enterprises | 2.94 Bn | 2.67 Bn | 90.90 Mn | 13.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 13.03 Mn |
| May 31, 2026 | 11.71 Mn |
| Feb 28, 2026 | 14.99 Mn |
| Nov 30, 2025 | 8.75 Mn |
| Aug 31, 2025 | 10.86 Mn |
| May 31, 2025 | 4.72 Mn |
| Feb 28, 2025 | 13.24 Mn |
| Nov 30, 2024 | 9.10 Mn |
| Aug 31, 2024 | 6.78 Mn |
| May 31, 2024 | 4.99 Mn |
| Feb 29, 2024 | 18.47 Mn |
| Nov 30, 2023 | 6.61 Mn |
| Aug 31, 2023 | 8.96 Mn |
| May 31, 2023 | 13.83 Mn |
| Feb 28, 2023 | 7.39 Mn |
| Nov 30, 2022 | 4.13 Mn |
| Aug 31, 2022 | 19.50 Mn |
| May 31, 2022 | -37.36 Mn |
| Feb 28, 2022 | 18.68 Mn |
| Nov 30, 2021 | 31.23 Mn |
Worthington Enterprises Tax Provisions 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=tax-provisions&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();