Embecta (EMBC) Operating Expenses (2020 - 2026)
Embecta (EMBC) reported Operating Expenses of $104.6 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.5% from $103.1 million a year earlier and up 12.7% from the prior quarter.
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Analysis
Embecta (EMBC) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Embecta's Operating Expenses came in at $377.8 million, down 21.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $434.7 million, down 23.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $568.4 million in FY2024 (+7.6%), $528.4 million in FY2023 (+13.6%), $465.3 million in FY2022 (+50.9%) and $308.4 million in FY2021 (+11.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses since fiscal Q1 2025.
- Year over year, Operating Expenses gained in 1 of the last eight quarters, with an average decline of 18.1%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 93.4%); the low point was fiscal Q1 2026 (a decline of 38.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $92.8 million (Q2 2026), $78.4 million (Q1 2026) and $102 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Embecta | 376.02 Mn | -450.38 Mn | 153.30 Mn | 104.60 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();