Acme United (ACU) Long-Term Debt Repayments (2018 - 2026)
Acme United (ACU) posted Long-Term Debt Repayments of $4.88 million for Q4 2019.
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Analysis
Acme United (ACU) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
For FY2019, Acme United's Long-Term Debt Repayments came in at $7.04 million, up 122.4% from FY2018.
- In prior years, Acme United's Long-Term Debt Repayments was $3.17 million in FY2018 and $22,222 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Acme United | 241.08 Mn | 223.10 Mn | 26.69 Mn | 128,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 67,000.00 |
API Access
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_KEYimport 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();