Acme United (ACU) Property, Plant & Equipment (Net) (2009 - 2026)
Acme United's Property, Plant & Equipment (Net) came in at $39.43 million for Q3 2026, up 1.9% from $38.69 million a year earlier and up 0.5% from the prior quarter.
Acme United (ACU) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Acme United's Property, Plant & Equipment (Net) was $38.54 million, up 21.8% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last six years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $31.65 million in FY2024 (+12.9%), $28.02 million in FY2023 (+6.1%), $26.42 million in FY2022 (+9.9%) and $24.03 million in FY2021 (+18.7%).
- The Q3 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 21 consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 1.9% (Q3 2026) to 25.2% (Q3 2025).
- Business Quant data shows ACU's Property, Plant & Equipment (Net) at $39.22 million (Q2 2026), $39.3 million (Q1 2026) and $38.54 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.73 Bn |
| 10 | Acme United | 278.14 Mn | 257.36 Mn | 26.30 Mn | 39.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 39.43 Mn |
| Jun 30, 2026 | 39.22 Mn |
| Mar 31, 2026 | 39.30 Mn |
| Dec 31, 2025 | 38.54 Mn |
| Sep 30, 2025 | 38.69 Mn |
| Jun 30, 2025 | 32.90 Mn |
| Mar 31, 2025 | 32.15 Mn |
| Dec 31, 2024 | 31.65 Mn |
| Sep 30, 2024 | 30.89 Mn |
| Jun 30, 2024 | 30.57 Mn |
| Mar 31, 2024 | 28.86 Mn |
| Dec 31, 2023 | 28.02 Mn |
| Sep 30, 2023 | 27.71 Mn |
| Jun 30, 2023 | 27.26 Mn |
| Mar 31, 2023 | 26.40 Mn |
| Dec 31, 2022 | 26.42 Mn |
| Sep 30, 2022 | 26.04 Mn |
| Jun 30, 2022 | 26.28 Mn |
| Mar 31, 2022 | 23.89 Mn |
| Dec 31, 2021 | 24.03 Mn |
Acme United Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ACU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ACU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();