Aetherion Technologies (AETR) Work In Process (2011 - 2019)
Aetherion Technologies (AETR) recorded Work In Process of $2.85 million in the quarter ended Dec 31, 2019, up 24.2% from $2.3 million a year earlier.
Aetherion Technologies (AETR) Work In Process (2011 - 2019) Analysis & Trends
Starting with the quarter ended Dec 31, 2011, Aetherion Technologies' Work In Process history includes 8 quarters.
- Annual Work In Process has a five-year compound annual growth rate of -10.2% (years ended Dec 2014 to Dec 2019).
- Across earlier years, Work In Process came in at $2.3 million in the year ended Dec 31, 2018 (+5.0%), $2.19 million in the year ended Dec 31, 2017 (-42.4%), $3.79 million in the year ended Dec 31, 2016 (+8.9%) and $3.49 million in the year ended Dec 31, 2015 (-28.6%).
- The figure for the quarter ended Dec 31, 2019 is the highest quarterly Work In Process since the quarter ended Dec 31, 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Aetherion Technologies | 31.74 Mn | -205.36 Mn | 133,000.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 2.85 Mn |
| Dec 31, 2018 | 2.30 Mn |
| Dec 31, 2017 | 2.19 Mn |
| Dec 31, 2016 | 3.79 Mn |
| Dec 31, 2015 | 3.49 Mn |
| Dec 31, 2014 | 4.88 Mn |
| Dec 31, 2012 | 7.52 Mn |
| Dec 31, 2011 | 6.99 Mn |
| Mar 31, 2011 | 3.45 Mn |
Aetherion Technologies Work In Process 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=work-in-process&ticker=AETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "ticker": "AETR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=work-in-process&ticker=AETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();