Core Molding Technologies (CMT) Other Operating Expenses (2018 - 2019)
Core Molding Technologies' Other Operating Expenses came in at $7.5 million for Q4 2019, down 29.6% from $10.65 million a year earlier and down 32.7% from the prior quarter.
Powered by 
Analysis
Core Molding Technologies (CMT) Other Operating Expenses (2018 - 2019) Analysis & Trends
For FY2019, Core Molding Technologies' Other Operating Expenses was $33.03 million, up 9.2% from FY2018.
- Other Operating Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 26.3% (FY2016 to FY2019).
- Going back by year, Other Operating Expenses was $30.24 million in FY2018 (+81.2%), $16.69 million in FY2017 (+1.9%) and $16.38 million in FY2016.
- The Q4 2019 figure represents the lowest quarterly Other Operating Expenses since Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Core Molding Technologies | 195.33 Mn | 79.23 Mn | 12.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 7.50 Mn |
| Sep 30, 2019 | 11.14 Mn |
| Dec 31, 2018 | 10.65 Mn |
| Sep 30, 2018 | 6.35 Mn |
API Access
Core Molding Technologies Other Operating 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=other-operating-expenses&ticker=CMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=CMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();