Worthington Enterprises (WOR) Notes Payables (2010 - 2026)
Worthington Enterprises (WOR) reported Notes Payables of $4.79 million for fiscal Q3 2026 (quarter ended Feb 28, 2026).
Worthington Enterprises (WOR) Notes Payables (2010 - 2026) Analysis & Trends
At the end of FY2023 (ended May 31, 2023), Worthington Enterprises posted Notes Payables of $2.81 million, down 94.1% from FY2022.
- By fiscal year, Notes Payables came in at $48 million in FY2022 and $1.16 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Notes Payables since fiscal Q2 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.93 Bn | 96.65 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.98 Bn | 87.71 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.19 Bn | 44.45 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.39 Bn | 40.69 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.60 Bn | 24.01 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.35 Bn | 14.42 Bn | 548.70 Mn |
| 7 | Masco | 14.89 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.67 Bn | 10.02 Bn | 568.40 Mn |
| 9 | Allegion | 13.43 Bn | 12.14 Bn | 517.50 Mn |
| 10 | Worthington Enterprises | 3.11 Bn | 2.84 Bn | 90.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 4.79 Mn |
| Nov 30, 2023 | 175.00 Mn |
| May 31, 2023 | 2.81 Mn |
| Feb 28, 2023 | 3.61 Mn |
| Nov 30, 2022 | 4.94 Mn |
| Aug 31, 2022 | 15.55 Mn |
| May 31, 2022 | 48.00 Mn |
| Feb 28, 2022 | 111.91 Mn |
| Feb 28, 2018 | 403,000.00 |
| Nov 30, 2017 | 723,000.00 |
| Aug 31, 2017 | 421,000.00 |
| May 31, 2017 | 123,000.00 |
| Feb 28, 2017 | 167,000.00 |
| Nov 30, 2016 | 497,000.00 |
| Aug 31, 2016 | 1.53 Mn |
| May 31, 2016 | 2.65 Mn |
| Feb 29, 2016 | 30.77 Mn |
| Nov 30, 2015 | 49.54 Mn |
| Aug 31, 2015 | 22.04 Mn |
| May 31, 2015 | 90.55 Mn |
Worthington Enterprises Notes Payables 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=notes-payables&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();