Acme United (ACU) Non Operating Interest Expenses (2010 - 2025)
Acme United (ACU) reported Non Operating Interest Expenses of $451,000 for Q3 2025, down 20.6% from $568,000 a year earlier but up 4.9% from the prior quarter.
Acme United (ACU) Non Operating Interest Expenses (2010 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Acme United's Non Operating Interest Expenses came in at $1.77 million, down 16.7% year-over-year; for FY2024, it was $2.08 million, down 32.7% from FY2023.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 2.6% (FY2019 to FY2024).
- By year, Non Operating Interest Expenses came in at $3.1 million in FY2023 (+29.2%), $2.4 million in FY2022 (+159.9%), $921,965 in FY2021 (-2.4%) and $944,363 in FY2020 (-48.4%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $202,363 in Q4 2020 and a high of $937,431 in Q4 2022.
- Year over year, Non Operating Interest Expenses has now declined in each of the last eight quarters, with an average decline of 27.8% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2022 (growth of 290.7%); the low point was Q1 2024 (a decline of 48.2%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $430,000 (Q2 2025), $426,000 (Q1 2025) and $461,323 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Acme United | 242.68 Mn | 224.70 Mn | 26.69 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 451,000.00 |
| Jun 30, 2025 | 430,000.00 |
| Mar 31, 2025 | 426,000.00 |
| Dec 31, 2024 | 461,323.00 |
| Sep 30, 2024 | 568,000.00 |
| Jun 30, 2024 | 578,000.00 |
| Mar 31, 2024 | 476,000.00 |
| Dec 31, 2023 | 501,481.00 |
| Sep 30, 2023 | 816,000.00 |
| Jun 30, 2023 | 860,000.00 |
| Mar 31, 2023 | 919,000.00 |
| Dec 31, 2022 | 937,431.00 |
| Sep 30, 2022 | 722,000.00 |
| Jun 30, 2022 | 428,000.00 |
| Mar 31, 2022 | 309,000.00 |
| Dec 31, 2021 | 239,965.00 |
| Sep 30, 2021 | 230,000.00 |
| Jun 30, 2021 | 226,000.00 |
| Mar 31, 2021 | 226,000.00 |
| Dec 31, 2020 | 202,363.00 |
Acme United 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=ACU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ACU", "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=ACU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();