Embecta (EMBC) EBITDA (2020 - 2026)
Embecta's EBITDA was $61.9 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 41.5% from $105.8 million a year earlier but up 29.5% from the prior quarter.
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Analysis
Embecta (EMBC) EBITDA (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Embecta's EBITDA was $278.1 million through Jun 30, 2026, up 7.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $293.2 million, up 40.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $209.3 million in FY2024 (-17.6%), $254.1 million in FY2023 (-25.5%), $341.3 million in FY2022 (-35.6%) and $530.3 million in FY2021 (+1.0%).
- Quarterly EBITDA has moved between $4.5 million (fiscal Q4 2022) and $126.1 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, EBITDA was higher in five of the last eight quarters, with growth averaging 30.1%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2023 (growth of 680.0%); the worst was fiscal Q4 2022 (a decline of 96.4%).
- Per Business Quant data, EMBC's EBITDA in the three fiscal quarters before Q3 2026 was $47.8 million (Q2 2026), $96.2 million (Q1 2026) and $72.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Embecta | 376.02 Mn | -450.38 Mn | 153.30 Mn | 61.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.90 Mn |
| Mar 31, 2026 | 47.80 Mn |
| Dec 31, 2025 | 96.20 Mn |
| Sep 30, 2025 | 72.20 Mn |
| Jun 30, 2025 | 105.80 Mn |
| Mar 31, 2025 | 74.60 Mn |
| Dec 31, 2024 | 40.60 Mn |
| Sep 30, 2024 | 37.80 Mn |
| Jun 30, 2024 | 67.00 Mn |
| Mar 31, 2024 | 49.40 Mn |
| Dec 31, 2023 | 55.90 Mn |
| Sep 30, 2023 | 36.70 Mn |
| Jun 30, 2023 | 59.40 Mn |
| Mar 31, 2023 | 63.60 Mn |
| Dec 31, 2022 | 97.60 Mn |
| Sep 30, 2022 | 5.80 Mn |
| Jun 30, 2022 | 108.00 Mn |
| Mar 31, 2022 | 105.70 Mn |
| Dec 31, 2021 | 125.00 Mn |
| Sep 30, 2021 | 126.10 Mn |
API Access
Embecta EBITDA 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=ebitda&ticker=EMBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();