Embecta (EMBC) Research & Development (2020 - 2026)
Embecta (EMBC) posted Research & Development of $5.6 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 27.3% from $4.4 million a year earlier and up 3.7% from the prior quarter.
Embecta (EMBC) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Embecta was $20.2 million, down 61.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $37.3 million, down 52.7% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- In prior fiscal years, Embecta's Research & Development was $78.8 million in FY2024 (-7.5%), $85.2 million in FY2023 (+27.4%), $66.9 million in FY2022 (+5.7%) and $63.3 million in FY2021 (+3.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Research & Development since fiscal Q2 2025.
- On a year-over-year basis, Research & Development increased in two of the last eight quarters, with an average decline of 38.7%.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q3 2023, with growth of 58.0%; the weakest was fiscal Q3 2025, with a decline of 78.4%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $5.4 million (Q2 2026), $4.6 million (Q1 2026) and $4.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Embecta | 376.02 Mn | -450.38 Mn | 153.30 Mn | 5.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.60 Mn |
| Mar 31, 2026 | 5.40 Mn |
| Dec 31, 2025 | 4.60 Mn |
| Sep 30, 2025 | 4.60 Mn |
| Jun 30, 2025 | 4.40 Mn |
| Mar 31, 2025 | 8.00 Mn |
| Dec 31, 2024 | 20.30 Mn |
| Sep 30, 2024 | 19.80 Mn |
| Jun 30, 2024 | 20.40 Mn |
| Mar 31, 2024 | 18.40 Mn |
| Dec 31, 2023 | 20.20 Mn |
| Sep 30, 2023 | 23.60 Mn |
| Jun 30, 2023 | 22.60 Mn |
| Mar 31, 2023 | 22.10 Mn |
| Dec 31, 2022 | 16.90 Mn |
| Sep 30, 2022 | 17.90 Mn |
| Jun 30, 2022 | 14.30 Mn |
| Mar 31, 2022 | 18.00 Mn |
| Dec 31, 2021 | 16.70 Mn |
| Sep 30, 2021 | 19.50 Mn |
Embecta Research & Development 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=research-and-development&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();