Acme United (ACU) Cost of Revenue (2009 - 2026)
Acme United (ACU) recorded Cost of Revenue of $36.03 million in Q2 2026, up 13.1% from $31.85 million a year earlier and up 14.3% from the prior quarter.
Acme United (ACU) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Acme United's Cost of Revenue came in at $126.79 million as of Jun 30, 2026, up 7.7% year-over-year; for FY2025, it was $119.13 million, up 0.8% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $118.14 million in FY2024 (-1.0%), $119.29 million in FY2023 (-8.5%), $130.4 million in FY2022 (+11.2%) and $117.29 million in FY2021 (+12.3%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue since Q2 2022.
- On a year-over-year basis, Cost of Revenue has increased for four consecutive quarters, with growth averaging 4.5% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 33.2% in Q2 2022, against a decline of 15.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.52 million (Q1 2026), $29.38 million (Q4 2025) and $29.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Acme United | 278.14 Mn | 257.36 Mn | 26.30 Mn | 31.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.71 Mn |
| Jun 30, 2026 | 36.03 Mn |
| Mar 31, 2026 | 31.52 Mn |
| Dec 31, 2025 | 29.38 Mn |
| Sep 30, 2025 | 29.87 Mn |
| Jun 30, 2025 | 31.85 Mn |
| Mar 31, 2025 | 28.04 Mn |
| Dec 31, 2024 | 28.18 Mn |
| Sep 30, 2024 | 29.60 Mn |
| Jun 30, 2024 | 32.80 Mn |
| Mar 31, 2024 | 27.56 Mn |
| Dec 31, 2023 | 25.54 Mn |
| Sep 30, 2023 | 30.88 Mn |
| Jun 30, 2023 | 33.31 Mn |
| Mar 31, 2023 | 29.56 Mn |
| Dec 31, 2022 | 30.03 Mn |
| Sep 30, 2022 | 33.82 Mn |
| Jun 30, 2022 | 38.23 Mn |
| Mar 31, 2022 | 28.37 Mn |
| Dec 31, 2021 | 29.74 Mn |
Acme United Cost of Revenue 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=cost-of-revenue&ticker=ACU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ACU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();