Aetherion Technologies (AETR) Finished Goods (2011 - 2019)
Aetherion Technologies' Finished Goods came in at $12.13 million for the quarter ended Dec 31, 2019, up 6.7% from $11.37 million a year earlier.
Aetherion Technologies (AETR) Finished Goods (2011 - 2019) Analysis & Trends
Going back to the quarter ended Dec 31, 2011, Aetherion Technologies' Finished Goods data covers 8 quarters.
- Finished Goods carries a five-year compound annual growth rate of 6.8% (years ended Dec 2014 to Dec 2019).
- Going back by year, Finished Goods was $11.37 million in the year ended Dec 31, 2018 (+8.2%), $10.51 million in the year ended Dec 31, 2017 (-5.3%), $11.1 million in the year ended Dec 31, 2016 (-1.9%) and $11.31 million in the year ended Dec 31, 2015 (+29.7%).
- The figure for the quarter ended Dec 31, 2019 represents the highest quarterly Finished Goods in data going back to the quarter ended Dec 31, 2011.
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 | 12.13 Mn |
| Dec 31, 2018 | 11.37 Mn |
| Dec 31, 2017 | 10.51 Mn |
| Dec 31, 2016 | 11.10 Mn |
| Dec 31, 2015 | 11.31 Mn |
| Dec 31, 2014 | 8.72 Mn |
| Dec 31, 2012 | 7.39 Mn |
| Dec 31, 2011 | 6.36 Mn |
| Mar 31, 2011 | 1.35 Mn |
Aetherion Technologies 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=AETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=AETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();