Acme United (ACU) Total Non-Current Liabilities (2010 - 2026)
Acme United's Total Non-Current Liabilities came in at $75.19 million for Q2 2026, up 31.6% from $57.13 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Acme United (ACU) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Acme United's Total Non-Current Liabilities was $53.37 million, down 3.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $55.18 million in FY2024 (+7.5%), $51.33 million in FY2023 (-39.4%), $84.72 million in FY2022 (+26.9%) and $66.76 million in FY2021 (-0.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q2 2023.
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with growth averaging 3.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2022 (growth of 48.9%), and the weakest in Q4 2023 (a decline of 39.4%).
- Business Quant data shows ACU's Total Non-Current Liabilities at $74.36 million (Q1 2026), $53.37 million (Q4 2025) and $57.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Acme United | 242.68 Mn | 224.70 Mn | 26.69 Mn | 75.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.19 Mn |
| Mar 31, 2026 | 74.36 Mn |
| Dec 31, 2025 | 53.37 Mn |
| Sep 30, 2025 | 57.26 Mn |
| Jun 30, 2025 | 57.13 Mn |
| Mar 31, 2025 | 54.74 Mn |
| Dec 31, 2024 | 55.18 Mn |
| Sep 30, 2024 | 58.64 Mn |
| Jun 30, 2024 | 69.07 Mn |
| Mar 31, 2024 | 60.27 Mn |
| Dec 31, 2023 | 51.33 Mn |
| Sep 30, 2023 | 70.34 Mn |
| Jun 30, 2023 | 77.45 Mn |
| Mar 31, 2023 | 76.70 Mn |
| Dec 31, 2022 | 84.72 Mn |
| Sep 30, 2022 | 94.32 Mn |
| Jun 30, 2022 | 96.12 Mn |
| Mar 31, 2022 | 74.70 Mn |
| Dec 31, 2021 | 66.76 Mn |
| Sep 30, 2021 | 64.77 Mn |
API Access
Acme United Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ACU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ACU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();