Acme United (ACU) Long-Term Debt Repayments (2018 - 2026)
Acme United (ACU) posted Long-Term Debt Repayments of $128,000 for Q2 2026, up 20.8% from $106,000 a year earlier and up 66.2% from the prior quarter.
Acme United (ACU) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Acme United was $430,447, up 5.2% year-over-year; for FY2025, it came in at $430,447, up 4.2% from FY2024.
- Annual Long-Term Debt Repayments has increased for three consecutive years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, Acme United's Long-Term Debt Repayments was $413,235 in FY2024 (+0.9%), $409,624 in FY2023 (+2.0%), $401,410 in FY2022 (-87.4%) and $3.18 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q4 2021.
- On a year-over-year basis, Long-Term Debt Repayments increased in five of the last eight quarters, with growth averaging 2.6%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2022, with growth of 46.3%; the weakest was Q4 2022, with a decline of 96.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $77,000 (Q1 2026), $120,447 (Q4 2025) and $105,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 7.00 Mn |
| 10 | Acme United | 278.14 Mn | 257.36 Mn | 26.30 Mn | 100,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100,000.00 |
| Jun 30, 2026 | 128,000.00 |
| Mar 31, 2026 | 77,000.00 |
| Dec 31, 2025 | 120,447.00 |
| Sep 30, 2025 | 105,000.00 |
| Jun 30, 2025 | 106,000.00 |
| Mar 31, 2025 | 99,000.00 |
| Dec 31, 2024 | 101,235.00 |
| Sep 30, 2024 | 103,000.00 |
| Jun 30, 2024 | 105,000.00 |
| Mar 31, 2024 | 104,000.00 |
| Dec 31, 2023 | 108,624.00 |
| Sep 30, 2023 | 92,000.00 |
| Jun 30, 2023 | 108,000.00 |
| Mar 31, 2023 | 101,000.00 |
| Dec 31, 2022 | 111,410.00 |
| Sep 30, 2022 | 98,000.00 |
| Jun 30, 2022 | 94,000.00 |
| Mar 31, 2022 | 98,000.00 |
| Dec 31, 2021 | 2.98 Mn |
Acme United Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ACU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ACU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();