Aetherion Technologies (AETR) Raw Materials (2011 - 2019)
Aetherion Technologies' Raw Materials was $32.81 million in the quarter ended Dec 31, 2019, up 3.4% from $31.74 million a year earlier.
Analysis
Aetherion Technologies (AETR) Raw Materials (2011 - 2019) Analysis & Trends
From the quarter ended Dec 31, 2011 onward, Aetherion Technologies has reported Raw Materials for 8 quarters.
- Raw Materials shows a five-year compound annual growth rate of 3.1% (years ended Dec 2014 to Dec 2019).
- In earlier years, Raw Materials was $31.74 million in the year ended Dec 31, 2018 (-1.9%), $32.35 million in the year ended Dec 31, 2017 (-14.6%), $37.89 million in the year ended Dec 31, 2016 (+81.6%) and $20.86 million in the year ended Dec 31, 2015 (-26.1%).
- The figure for the quarter ended Dec 31, 2019 marks the highest quarterly Raw Materials since the quarter ended Dec 31, 2016.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 32.81 Mn |
| Dec 31, 2018 | 31.74 Mn |
| Dec 31, 2017 | 32.35 Mn |
| Dec 31, 2016 | 37.89 Mn |
| Dec 31, 2015 | 20.86 Mn |
| Dec 31, 2014 | 28.23 Mn |
| Dec 31, 2012 | 25.45 Mn |
| Dec 31, 2011 | 19.99 Mn |
| Mar 31, 2011 | 10.49 Mn |
API Access
Aetherion Technologies Raw Materials 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=raw-materials&ticker=AETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=AETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();