Embecta (EMBC) EBIT (2020 - 2026)
Embecta (EMBC) recorded EBIT of $48.7 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 48.2% from $94 million a year earlier but up 39.1% from the prior quarter.
Powered by 
Analysis
Embecta (EMBC) EBIT (2020 - 2026) Analysis & Trends
On a TTM basis, Embecta's EBIT came in at $223.5 million as of Jun 30, 2026, up 5.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $242.1 million, up 45.1% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- Across earlier fiscal years, EBIT came in at $166.8 million in FY2024 (-24.7%), $221.5 million in FY2023 (-28.5%), $309.6 million in FY2022 (-37.1%) and $492 million in FY2021 (+1.1%).
- Quarterly EBIT has ranged from -$3 million in fiscal Q4 2022 to $117.2 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, EBIT rose in five of the last eight quarters, with growth averaging 38.3%.
- Peak year-over-year performance for EBIT in the last five years was growth of 190.2% in fiscal Q1 2026, against a decline of 48.8% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $35 million (Q2 2026), $83.3 million (Q1 2026) and $56.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Embecta | 376.02 Mn | -450.38 Mn | 153.30 Mn | 48.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.70 Mn |
| Mar 31, 2026 | 35.00 Mn |
| Dec 31, 2025 | 83.30 Mn |
| Sep 30, 2025 | 56.50 Mn |
| Jun 30, 2025 | 94.00 Mn |
| Mar 31, 2025 | 62.90 Mn |
| Dec 31, 2024 | 28.70 Mn |
| Sep 30, 2024 | 26.20 Mn |
| Jun 30, 2024 | 55.90 Mn |
| Mar 31, 2024 | 39.20 Mn |
| Dec 31, 2023 | 45.50 Mn |
| Sep 30, 2023 | 25.80 Mn |
| Jun 30, 2023 | 51.30 Mn |
| Mar 31, 2023 | 55.60 Mn |
| Dec 31, 2022 | 88.80 Mn |
| Sep 30, 2022 | -3.00 Mn |
| Jun 30, 2022 | 97.10 Mn |
| Mar 31, 2022 | 98.90 Mn |
| Dec 31, 2021 | 116.60 Mn |
| Sep 30, 2021 | 117.20 Mn |
API Access
Embecta EBIT 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=ebit&ticker=EMBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();