Embecta (EMBC) Accumulated Expenses (2021 - 2026)
Embecta's (EMBC) quarterly Accumulated Expenses came in at $138.6 million in Q2 2026, up 7.36% year-over-year from $129.1 million in Q2 2025, and up 21.79% quarter-over-quarter from $113.8 million in Q1 2026.
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Analysis
Embecta (EMBC) Accumulated Expenses (2021 - 2026) Analysis & Trends
Embecta has disclosed Accumulated Expenses across 6 years of filings, most recently posting $138.6 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 7.36% year-over-year to $138.6 million; the TTM figure through Jun 2026 stood at $138.6 million (up 7.36% YoY), while the FY2025 annual figure was $98.9 million, down 26.3% from the prior year.
- Accumulated Expenses came in at $138.6 million for Q2 2026 at Embecta, up from $113.8 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $160.2 million in Q2 2023 to a low of $76.6 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $122.9 million, with a median of $122.6 million recorded in 2023.
- Year-over-year, Accumulated Expenses surged 114.79% in 2022 and dropped 26.3% in 2025.
- Over 5 years, Accumulated Expenses stood at $156.8 million in 2022, then fell by 22.07% to $122.2 million in 2023, then grew by 3.93% to $127.0 million in 2024, then slipped by 12.13% to $111.6 million in 2025, then rose by 24.19% to $138.6 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $138.6 million in Q2 2026, $113.8 million in Q1 2026, and $111.6 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn |
| 10 | Embecta | 300.30 Mn | 82.10 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();