Worthington Enterprises (WOR) Accumulated Expenses (2010 - 2018)
Worthington Enterprises' Accumulated Expenses was $60.86 million in fiscal Q3 2018 (quarter ended Feb 28, 2018), up 35.1% from $45.05 million a year earlier and up 2.7% from the prior quarter.
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Analysis
Worthington Enterprises (WOR) Accumulated Expenses (2010 - 2018) Analysis & Trends
At the end of FY2017 (ended May 31, 2017), Accumulated Expenses at Worthington Enterprises came in at $41.55 million, down 7.8% from FY2016.
- Accumulated Expenses shows a five-year compound annual growth rate of 1.7% (FY2012 to FY2017).
- In earlier fiscal years, Accumulated Expenses was $45.06 million in FY2016 (-20.8%), $56.91 million in FY2015 (+14.1%), $49.87 million in FY2014 (+36.5%) and $36.54 million in FY2013 (-4.4%).
- The fiscal Q3 2018 figure marks the highest quarterly Accumulated Expenses since fiscal Q2 2016.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 1.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2015 (growth of 56.4%); the worst was fiscal Q2 2017 (a decline of 31.5%).
- Per Business Quant data, WOR's Accumulated Expenses in the three fiscal quarters before Q3 2018 was $59.26 million (Q2 2018), $55.33 million (Q1 2018) and $41.55 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Worthington Enterprises | 2.90 Bn | 2.52 Bn | 101.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2018 | 60.86 Mn |
| Nov 30, 2017 | 59.26 Mn |
| Aug 31, 2017 | 55.33 Mn |
| May 31, 2017 | 41.55 Mn |
| Feb 28, 2017 | 45.05 Mn |
| Nov 30, 2016 | 41.82 Mn |
| Aug 31, 2016 | 49.45 Mn |
| May 31, 2016 | 45.06 Mn |
| Feb 29, 2016 | 52.99 Mn |
| Nov 30, 2015 | 61.04 Mn |
| Aug 31, 2015 | 67.25 Mn |
| May 31, 2015 | 56.91 Mn |
| Feb 28, 2015 | 58.63 Mn |
| Nov 30, 2014 | 60.96 Mn |
| Aug 31, 2014 | 60.57 Mn |
| May 31, 2014 | 49.87 Mn |
| Feb 28, 2014 | 38.55 Mn |
| Nov 30, 2013 | 42.47 Mn |
| Aug 31, 2013 | 38.72 Mn |
| May 31, 2013 | 36.54 Mn |
API Access
Worthington Enterprises Accumulated Expenses 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=accumulated-expenses&ticker=WOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();