American Clean Resources (ACRG) Price to Book (2011 - 2023)
American Clean Resources' (ACRG) Price to Book was 9.60 for Q3 2023.
Powered by 
Analysis
American Clean Resources (ACRG) Price to Book (2011 - 2023) Analysis & Trends
For FY2014, Price to Book at American Clean Resources was 222.54, up 34.9% from FY2013.
- By year, Price to Book came in at 164.90 in FY2013 (+583.8%), 24.12 in FY2012 (-74.4%) and 94.24 in FY2011.
- The Q3 2023 figure ranks as the highest quarterly Price to Book in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn |
| 10 | American Clean Resources | 81.79 Mn | 82.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 9.60 |
| Mar 31, 2015 | 230.55 |
| Dec 31, 2014 | 222.54 |
| Sep 30, 2014 | 373.02 |
| Jun 30, 2014 | 436.61 |
| Mar 31, 2014 | 448.17 |
| Dec 31, 2013 | 164.90 |
| Sep 30, 2013 | 75.34 |
| Jun 30, 2013 | 87.71 |
| Mar 31, 2013 | 66.83 |
| Dec 31, 2012 | 24.12 |
| Sep 30, 2012 | 25.50 |
| Jun 30, 2012 | 24.83 |
| Mar 31, 2012 | 74.23 |
| Dec 31, 2011 | 94.24 |
| Sep 30, 2011 | 69.83 |
| Jun 30, 2011 | 123.75 |
| Mar 31, 2011 | 54.54 |
API Access
American Clean Resources Price to Book 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=price-to-book&ticker=ACRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();