Embecta (EMBC) Amortizatization of Intangibles (2023 - 2026)
Embecta's (EMBC) quarterly Amortizatization of Intangibles came in at $2.6 million in Q2 2026, little changed year-over-year from $2.6 million in Q2 2025, and little changed quarter-over-quarter from $2.6 million in Q1 2026.
Embecta (EMBC) Amortizatization of Intangibles (2023 - 2026) Analysis & Trends
Embecta has disclosed Amortizatization of Intangibles across 4 years of filings, most recently posting $2.6 million for Q2 2026.
- In Q2 2026, Amortizatization of Intangibles changed 0.0% year-over-year to $2.6 million; the TTM figure through Jun 2026 stood at $10.4 million (up 0.97% YoY), while the FY2025 annual figure was $10.4 million, up 65.08% from the prior year.
- Amortizatization of Intangibles came in at $2.6 million for Q2 2026 at Embecta, roughly flat from $2.6 million in the prior quarter.
- In the past five years, Amortizatization of Intangibles ranged from a high of $2.7 million in Q1 2025 to a low of $400000.0 in Q4 2023.
- Average Amortizatization of Intangibles over 4 years is $2.2 million, with a median of $2.6 million recorded in 2025.
- Year-over-year, Amortizatization of Intangibles surged 525.0% in 2024 and retreated 3.7% in 2026.
- Over 4 years, Amortizatization of Intangibles stood at $400000.0 in 2023, then surged by 525.0% to $2.5 million in 2024, then rose by 4.0% to $2.6 million in 2025, then changed by 0.0% to $2.6 million in 2026.
- Per Business Quant data, the three most recent Amortizatization of Intangibles figures were $2.6 million in Q2 2026, $2.6 million in Q1 2026, and $2.6 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn | - |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn | 38.80 Mn |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn | - |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn | - |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn | - |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn | 6.60 Mn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn | - |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn | 10.34 Mn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn | - |
| 10 | Embecta | 300.30 Mn | 82.10 Mn | 153.30 Mn | 2.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.60 Mn |
| Mar 31, 2026 | 2.60 Mn |
| Dec 31, 2025 | 2.60 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 2.60 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 400,000.00 |
Embecta Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "EMBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();