American Clean Resources (ACRG) Non Operating Interest Expenses (2010 - 2026)
American Clean Resources' Non Operating Interest Expenses came in at $124,346 for Q2 2026, up 9.0% from $114,069 a year earlier and up 3.9% from the prior quarter.
American Clean Resources (ACRG) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American Clean Resources reported Non Operating Interest Expenses of $548,571, up 31.1% year-over-year; for FY2025, it was $523,708, up 38.1% from FY2024.
- Non Operating Interest Expenses carries a three-year compound annual growth rate of -11.4% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $379,198 in FY2024 (-45.2%), $692,204 in FY2023 (-8.0%) and $752,233 in FY2022.
- The five-year range for quarterly Non Operating Interest Expenses is $87,875 (Q1 2024) to $259,591 (Q4 2023).
- Year-over-year, Non Operating Interest Expenses has increased for six consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2025 (growth of 73.5%), and the weakest in Q4 2024 (a decline of 61.0%).
- Business Quant data shows ACRG's Non Operating Interest Expenses at $119,709 (Q1 2026), $175,415 (Q4 2025) and $129,101 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 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 | 79.00 Mn |
| 10 | American Clean Resources | 112.67 Mn | 112.65 Mn | - | 124,346.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124,346.00 |
| Mar 31, 2026 | 119,709.00 |
| Dec 31, 2025 | 175,415.00 |
| Sep 30, 2025 | 129,101.00 |
| Jun 30, 2025 | 114,069.00 |
| Mar 31, 2025 | 105,123.00 |
| Dec 31, 2024 | 101,126.00 |
| Sep 30, 2024 | 98,251.00 |
| Jun 30, 2024 | 91,946.00 |
| Mar 31, 2024 | 87,875.00 |
| Dec 31, 2023 | 259,591.00 |
| Sep 30, 2023 | 196,666.00 |
| Mar 31, 2023 | 212,909.00 |
| Dec 31, 2022 | 194,229.00 |
| Sep 30, 2022 | 190,345.00 |
| Mar 31, 2020 | 815,083.00 |
| Dec 31, 2019 | 43,494.00 |
| Sep 30, 2019 | 153,340.00 |
| Jun 30, 2019 | 153,235.00 |
| Mar 31, 2019 | 169,250.00 |
American Clean Resources Non Operating Interest 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=non-operating-interest-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ACRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();