American Clean Resources (ACRG) Accumulated Expenses (2009 - 2026)
American Clean Resources (ACRG) posted Accumulated Expenses of $2.78 million for Q2 2026, up 22.6% from $2.27 million a year earlier and up 5.0% from the prior quarter.
American Clean Resources (ACRG) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, American Clean Resources' Accumulated Expenses came in at $2.55 million, up 22.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In prior years, American Clean Resources' Accumulated Expenses was $2.08 million in FY2024 (+20.4%), $1.73 million in FY2023 (-50.8%), $3.51 million in FY2022 (+19.8%) and $2.93 million in FY2021 (+20.9%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses since Q1 2023.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 21.5% over the last five quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2025, with growth of 22.7%; the weakest was Q3 2023, with a decline of 57.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.65 million (Q1 2026), $2.55 million (Q4 2025) and $2.48 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Mn |
| Mar 31, 2026 | 2.65 Mn |
| Dec 31, 2025 | 2.55 Mn |
| Sep 30, 2025 | 2.48 Mn |
| Jun 30, 2025 | 2.27 Mn |
| Mar 31, 2025 | 2.17 Mn |
| Dec 31, 2024 | 2.08 Mn |
| Mar 31, 2024 | 1.81 Mn |
| Dec 31, 2023 | 1.73 Mn |
| Sep 30, 2023 | 1.44 Mn |
| Jun 30, 2023 | 1.65 Mn |
| Mar 31, 2023 | 3.31 Mn |
| Dec 31, 2022 | 3.51 Mn |
| Sep 30, 2022 | 3.34 Mn |
| Jun 30, 2022 | 3.19 Mn |
| Mar 31, 2022 | 3.05 Mn |
| Dec 31, 2021 | 2.93 Mn |
| Sep 30, 2021 | 2.80 Mn |
| Jun 30, 2021 | 2.67 Mn |
| Mar 31, 2021 | 2.54 Mn |
American Clean Resources Accumulated Expenses 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=accumulated-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();