Embecta (EMBC) Restructuring Costs (2021 - 2025)
Embecta's (EMBC) quarterly Restructuring Costs came in at $10.5 million in Q3 2025, down 66.13% year-over-year from $31.0 million in Q3 2024, and down 26.57% quarter-over-quarter from $14.3 million in Q2 2025.
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Analysis
Embecta (EMBC) Restructuring Costs (2021 - 2025) Analysis & Trends
Embecta has disclosed Restructuring Costs across 5 years of filings, most recently posting $10.5 million for Q3 2025.
- In Q3 2025, Restructuring Costs fell 66.13% year-over-year to $10.5 million; the TTM figure through Sep 2025 stood at $65.4 million (down 47.47% YoY), while the FY2025 annual figure was $65.4 million, down 47.47% from the prior year.
- Restructuring Costs came in at $10.5 million for Q3 2025 at Embecta, down from $14.3 million in the prior quarter.
- In the past five years, Restructuring Costs ranged from a high of $35.5 million in Q1 2024 to a low of $2.1 million in Q2 2021.
- Average Restructuring Costs over 5 years is $18.8 million, with a median of $17.8 million recorded in 2022.
- Year-over-year, Restructuring Costs surged 685.19% in 2022 and sank 66.13% in 2025.
- Over 5 years, Restructuring Costs stood at $8.4 million in 2021, then climbed by 22.62% to $10.3 million in 2022, then surged by 190.29% to $29.9 million in 2023, then declined by 9.7% to $27.0 million in 2024, then plunged by 61.11% to $10.5 million in 2025.
- Per Business Quant data, the three most recent Restructuring Costs figures were $10.5 million in Q3 2025, $14.3 million in Q2 2025, and $13.6 million in Q1 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 |
|---|---|
| Sep 30, 2025 | 10.50 Mn |
| Jun 30, 2025 | 14.30 Mn |
| Mar 31, 2025 | 13.60 Mn |
| Dec 31, 2024 | 27.00 Mn |
| Sep 30, 2024 | 31.00 Mn |
| Jun 30, 2024 | 28.10 Mn |
| Mar 31, 2024 | 35.50 Mn |
| Dec 31, 2023 | 29.90 Mn |
| Sep 30, 2023 | 34.20 Mn |
| Jun 30, 2023 | 28.00 Mn |
| Mar 31, 2023 | 26.90 Mn |
| Dec 31, 2022 | 10.30 Mn |
| Sep 30, 2022 | 21.20 Mn |
| Jun 30, 2022 | 7.70 Mn |
| Mar 31, 2022 | 7.40 Mn |
| Dec 31, 2021 | 8.40 Mn |
| Sep 30, 2021 | 2.70 Mn |
| Jun 30, 2021 | 2.10 Mn |
API Access
Embecta Restructuring Costs 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=restructuring-costs&ticker=EMBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();