American Clean Resources (ACRG) Construction in Progress (2013 - 2023)
American Clean Resources' Construction in Progress came in at $4.89 million for Q4 2023.
Analysis
American Clean Resources (ACRG) Construction in Progress (2013 - 2023) Analysis & Trends
Going back to Q4 2013, American Clean Resources' Construction in Progress data covers 20 quarters.
- The Q4 2023 figure represents the highest quarterly Construction in Progress in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Construction in Progress (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 | 385.00 Mn |
| 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 | American Clean Resources | 112.67 Mn | 112.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 4.89 Mn |
| Jun 30, 2018 | 1.78 Mn |
| Mar 31, 2018 | 1.78 Mn |
| Dec 31, 2017 | 1.78 Mn |
| Sep 30, 2017 | 1.78 Mn |
| Jun 30, 2017 | 1.78 Mn |
| Mar 31, 2017 | 1.78 Mn |
| Dec 31, 2016 | 1.78 Mn |
| Sep 30, 2016 | 1.78 Mn |
| Jun 30, 2016 | 1.78 Mn |
| Mar 31, 2016 | 1.78 Mn |
| Dec 31, 2015 | 1.78 Mn |
| Sep 30, 2015 | 2.06 Mn |
| Jun 30, 2015 | 2.06 Mn |
| Mar 31, 2015 | 1.95 Mn |
| Dec 31, 2014 | 1.78 Mn |
| Sep 30, 2014 | 1.56 Mn |
| Jun 30, 2014 | 1.22 Mn |
| Mar 31, 2014 | 245,604.00 |
| Dec 31, 2013 | 68,349.00 |
API Access
American Clean Resources Construction in Progress 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=construction-in-progress&ticker=ACRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "construction-in-progress", "ticker": "ACRG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=construction-in-progress&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();