Kewaunee Scientific (KEQU) Finished Goods (2012 - 2018)
Kewaunee Scientific's Finished Goods came in at $3.81 million for fiscal Q2 2019 (quarter ended Oct 31, 2018), up 16.8% from $3.26 million a year earlier and up 9.8% from the prior quarter.
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Analysis
Kewaunee Scientific (KEQU) Finished Goods (2012 - 2018) Analysis & Trends
At the end of FY2018 (ended Apr 30, 2018), Kewaunee Scientific's Finished Goods was $4.75 million, up 49.4% from FY2017.
- Finished Goods carries a five-year compound annual growth rate of 3.2% (FY2013 to FY2018).
- Going back by fiscal year, Finished Goods was $3.18 million in FY2017 (-14.2%), $3.71 million in FY2016 (+26.3%), $2.94 million in FY2015 (+0.9%) and $2.91 million in FY2014 (-28.2%).
- The five-year range for quarterly Finished Goods is $2.91 million (fiscal Q4 2014) to $4.75 million (fiscal Q4 2018).
- Year-over-year, Finished Goods increased in four of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Finished Goods over five years came in fiscal Q4 2018 (growth of 49.4%), and the weakest in fiscal Q4 2014 (a decline of 28.2%).
- Business Quant data shows KEQU's Finished Goods at $3.47 million (Q1 2019), $4.75 million (Q4 2018) and $3.78 million (Q3 2018) in the three fiscal quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn |
| 10 | Kewaunee Scientific | 99.44 Mn | 62.72 Mn | 19.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2018 | 3.81 Mn |
| Jul 31, 2018 | 3.47 Mn |
| Apr 30, 2018 | 4.75 Mn |
| Jan 31, 2018 | 3.78 Mn |
| Oct 31, 2017 | 3.26 Mn |
| Jul 31, 2017 | 4.42 Mn |
| Apr 30, 2017 | 3.18 Mn |
| Jan 31, 2017 | 3.57 Mn |
| Oct 31, 2016 | 4.12 Mn |
| Jul 31, 2016 | 4.18 Mn |
| Apr 30, 2016 | 3.71 Mn |
| Jan 31, 2016 | 4.12 Mn |
| Oct 31, 2015 | 3.08 Mn |
| Jul 31, 2015 | 3.61 Mn |
| Apr 30, 2015 | 2.94 Mn |
| Jan 31, 2015 | 3.14 Mn |
| Oct 31, 2014 | 3.28 Mn |
| Jul 31, 2014 | 3.29 Mn |
| Apr 30, 2014 | 2.91 Mn |
| Jan 31, 2014 | 3.26 Mn |
API Access
Kewaunee Scientific Finished Goods 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=finished-goods&ticker=KEQU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "KEQU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=KEQU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();