Embecta (EMBC) Accumulated Expenses (2021 - 2026)
Embecta's Accumulated Expenses was $138.6 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 7.4% from $129.1 million a year earlier and up 21.8% from the prior quarter.
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Analysis
Embecta (EMBC) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Accumulated Expenses at Embecta came in at $98.9 million, down 26.3% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of 4.9% (FY2021 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $134.2 million in FY2024 (+13.6%), $118.1 million in FY2023 (+13.2%), $104.3 million in FY2022 (+27.8%) and $81.6 million in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Accumulated Expenses since fiscal Q3 2024.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 3.4%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2023 (growth of 114.8%); the worst was fiscal Q4 2025 (a decline of 26.3%).
- Per Business Quant data, EMBC's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $113.8 million (Q2 2026), $111.6 million (Q1 2026) and $98.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Embecta | 390.35 Mn | -436.05 Mn | 153.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.60 Mn |
| Mar 31, 2026 | 113.80 Mn |
| Dec 31, 2025 | 111.60 Mn |
| Sep 30, 2025 | 98.90 Mn |
| Jun 30, 2025 | 129.10 Mn |
| Mar 31, 2025 | 123.10 Mn |
| Dec 31, 2024 | 127.00 Mn |
| Sep 30, 2024 | 134.20 Mn |
| Jun 30, 2024 | 142.20 Mn |
| Mar 31, 2024 | 119.70 Mn |
| Dec 31, 2023 | 122.20 Mn |
| Sep 30, 2023 | 118.10 Mn |
| Jun 30, 2023 | 160.20 Mn |
| Mar 31, 2023 | 146.60 Mn |
| Dec 31, 2022 | 156.80 Mn |
| Sep 30, 2022 | 104.30 Mn |
| Jun 30, 2022 | 89.60 Mn |
| Mar 31, 2022 | 76.60 Mn |
| Dec 31, 2021 | 73.00 Mn |
| Sep 30, 2021 | 81.60 Mn |
API Access
Embecta Accumulated 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=accumulated-expenses&ticker=EMBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();