Worthington Enterprises (WOR) Change in Other Operating Liabilities (2009 - 2019)
Worthington Enterprises' Change in Other Operating Liabilities came in at -$2.27 million for fiscal Q4 2019 (quarter ended May 31, 2019), compared with $2.1 million a year earlier.
Worthington Enterprises (WOR) Change in Other Operating Liabilities (2009 - 2019) Analysis & Trends
For FY2019 (ended May 31, 2019), Worthington Enterprises' Change in Other Operating Liabilities was -$811,000.
- Going back by fiscal year, Change in Other Operating Liabilities was $9.67 million in FY2018 (+360.9%), $2.1 million in FY2017 (-53.0%), $4.46 million in FY2016 and -$9.37 million in FY2015.
- The fiscal Q4 2019 figure represents the lowest quarterly Change in Other Operating Liabilities since fiscal Q1 2016.
- Year-over-year, Change in Other Operating Liabilities increased in three of the last five quarters, with growth averaging 85.1%.
- The fastest year-over-year change in Change in Other Operating Liabilities over five years came in fiscal Q3 2018 (growth of 193.5%), and the weakest in fiscal Q2 2017 (a decline of 87.3%).
- Business Quant data shows WOR's Change in Other Operating Liabilities at $464,000 (Q3 2019), $2.19 million (Q2 2019) and -$1.2 million (Q1 2019) in the three fiscal quarters before Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.55 Bn | 94.27 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 86.89 Bn | 84.62 Bn | 2.47 Bn | - |
| 3 | Carrier Global | 46.81 Bn | 41.12 Bn | 1.94 Bn | - |
| 4 | Comfort Systems Usa | 44.93 Bn | 40.18 Bn | 844.23 Mn | 829.57 Mn |
| 5 | Otis Worldwide | 28.87 Bn | 25.29 Bn | 1.14 Bn | -10.00 Mn |
| 6 | Masco | 15.52 Bn | 13.37 Bn | 868.00 Mn | - |
| 7 | James Hardie Industries | 15.33 Bn | 14.40 Bn | 548.70 Mn | - |
| 8 | Allegion | 15.13 Bn | 13.84 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 14.17 Bn | 10.52 Bn | 568.40 Mn | - |
| 10 | Worthington Enterprises | 3.14 Bn | 2.87 Bn | 90.90 Mn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2019 | -2.27 Mn |
| Feb 28, 2019 | 464,000.00 |
| Nov 30, 2018 | 2.19 Mn |
| Aug 31, 2018 | -1.20 Mn |
| May 31, 2018 | 2.10 Mn |
| Feb 28, 2018 | 2.11 Mn |
| Nov 30, 2017 | 2.48 Mn |
| Aug 31, 2017 | 2.98 Mn |
| May 31, 2017 | -716,000.00 |
| Feb 28, 2017 | 718,000.00 |
| Nov 30, 2016 | 950,000.00 |
| Aug 31, 2016 | 1.14 Mn |
| May 31, 2016 | -892,000.00 |
| Feb 29, 2016 | 1.05 Mn |
| Nov 30, 2015 | 7.49 Mn |
| Aug 31, 2015 | -3.19 Mn |
| May 31, 2015 | 743,000.00 |
| Feb 28, 2015 | -3.61 Mn |
| Nov 30, 2014 | -505,000.00 |
| Aug 31, 2014 | -5.99 Mn |
Worthington Enterprises Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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=change-in-other-operating-liabilities&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();