Embecta (EMBC) Dividends Paid - Common (2022 - 2026)
Embecta's Dividends Paid - Common was $600,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 93.1% from $8.7 million a year earlier and down 93.3% from the prior quarter.
Embecta (EMBC) Dividends Paid - Common (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Embecta's Dividends Paid - Common was $27.2 million through Jun 30, 2026, down 22.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $35 million, up 1.4% from FY2024.
- Dividends Paid - Common has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 59.7% (FY2022 to FY2025).
- In earlier fiscal years, Dividends Paid - Common was $34.5 million in FY2024 (+0.3%), $34.4 million in FY2023 (+300.0%) and $8.6 million in FY2022.
- The fiscal Q3 2026 figure marks the lowest quarterly Dividends Paid - Common in data going back to fiscal Q4 2022.
- Compared with a year earlier, Dividends Paid - Common was higher in seven of the last eight quarters, with an average decline of 10.3%.
- The best year-over-year quarter for Dividends Paid - Common over five years was fiscal Q1 2025 (growth of 2.3%); the worst was fiscal Q3 2026 (a decline of 93.1%).
- Per Business Quant data, EMBC's Dividends Paid - Common in the three fiscal quarters before Q3 2026 was $8.9 million (Q2 2026), $8.9 million (Q1 2026) and $8.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Paid (Common) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.43 Bn | 232.46 Bn | 4.88 Bn | 175.00 Mn |
| 2 | Abbott Laboratories | 180.50 Bn | 150.93 Bn | 7.27 Bn | 1.10 Bn |
| 3 | Danaher | 158.50 Bn | 142.31 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.91 Bn | 133.33 Bn | 1.96 Bn | - |
| 5 | Medtronic | 120.42 Bn | 85.67 Bn | 6.34 Bn | 921.00 Mn |
| 6 | Stryker | 114.95 Bn | 101.07 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.05 Bn | 61.82 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 52.69 Bn | 49.84 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.33 Bn | 34.34 Bn | 1.35 Bn | - |
| 10 | Embecta | 370.46 Mn | -455.94 Mn | 153.30 Mn | 600,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 600,000.00 |
| Mar 31, 2026 | 8.90 Mn |
| Dec 31, 2025 | 8.90 Mn |
| Sep 30, 2025 | 8.80 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 8.70 Mn |
| Dec 31, 2024 | 8.80 Mn |
| Sep 30, 2024 | 8.70 Mn |
| Jun 30, 2024 | 8.60 Mn |
| Mar 31, 2024 | 8.60 Mn |
| Dec 31, 2023 | 8.60 Mn |
| Sep 30, 2023 | 8.60 Mn |
| Jun 30, 2023 | 8.60 Mn |
| Mar 31, 2023 | 17.20 Mn |
| Sep 30, 2022 | 8.60 Mn |
Embecta Dividends Paid - Common 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=dividends-paid-common&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common", "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=dividends-paid-common&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();