Embecta (EMBC) Operating Expenses (2020 - 2026)
Embecta's (EMBC) quarterly Operating Expenses came in at $104.6 million in Q2 2026, up 1.45% year-over-year from $103.1 million in Q2 2025, and up 12.72% quarter-over-quarter from $92.8 million in Q1 2026.
Embecta (EMBC) Operating Expenses (2020 - 2026) Analysis & Trends
Embecta has disclosed Operating Expenses across 7 years of filings, most recently posting $104.6 million for Q2 2026.
- In Q2 2026, Operating Expenses rose 1.45% year-over-year to $104.6 million; the TTM figure through Jun 2026 stood at $377.8 million (down 21.34% YoY), while the FY2025 annual figure was $434.7 million, down 23.52% from the prior year.
- Operating Expenses came in at $104.6 million for Q2 2026 at Embecta, up from $92.8 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $179.9 million in Q3 2022 to a low of $78.4 million in Q4 2025.
- Average Operating Expenses over 5 years is $121.4 million, with a median of $117.1 million recorded in 2022.
- Year-over-year, Operating Expenses soared 93.44% in 2022 and sank 38.94% in 2025.
- Over 5 years, Operating Expenses stood at $100.0 million in 2022, then jumped by 40.4% to $140.4 million in 2023, then retreated by 8.55% to $128.4 million in 2024, then slumped by 38.94% to $78.4 million in 2025, then soared by 33.42% to $104.6 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $104.6 million in Q2 2026, $92.8 million in Q1 2026, and $78.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn | 10.90 Bn |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn | 988.50 Mn |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn | 3.97 Bn |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn | 2.84 Bn |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn | 2.67 Bn |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn | 846.40 Mn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn | 511.70 Mn |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn | 412.51 Mn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn | -1.63 Bn |
| 10 | Embecta | 300.30 Mn | 82.10 Mn | 153.30 Mn | 104.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.60 Mn |
| Mar 31, 2026 | 92.80 Mn |
| Dec 31, 2025 | 78.40 Mn |
| Sep 30, 2025 | 102.00 Mn |
| Jun 30, 2025 | 103.10 Mn |
| Mar 31, 2025 | 101.20 Mn |
| Dec 31, 2024 | 128.40 Mn |
| Sep 30, 2024 | 147.60 Mn |
| Jun 30, 2024 | 134.20 Mn |
| Mar 31, 2024 | 146.20 Mn |
| Dec 31, 2023 | 140.40 Mn |
| Sep 30, 2023 | 156.00 Mn |
| Jun 30, 2023 | 138.20 Mn |
| Mar 31, 2023 | 134.20 Mn |
| Dec 31, 2022 | 100.00 Mn |
| Sep 30, 2022 | 179.90 Mn |
| Jun 30, 2022 | 105.80 Mn |
| Mar 31, 2022 | 92.30 Mn |
| Dec 31, 2021 | 87.30 Mn |
| Sep 30, 2021 | 93.00 Mn |
Embecta Operating Expenses 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=operating-expenses&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();