Embecta (EMBC) Cost of Revenue (2020 - 2026)
Embecta (EMBC) recorded Cost of Revenue of $118.4 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 20.3% from $98.4 million a year earlier and up 26.0% from the prior quarter.
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Analysis
Embecta (EMBC) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Embecta's Cost of Revenue came in at $417.4 million as of Jun 30, 2026, up 1.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $403.6 million, up 4.0% from FY2024.
- Annual Cost of Revenue has increased for three straight fiscal years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $387.9 million in FY2024 (+4.6%), $370.9 million in FY2023 (+4.6%), $354.6 million in FY2022 (-2.8%) and $364.9 million in FY2021 (+13.0%).
- The fiscal Q3 2026 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q1 2021.
- On a year-over-year basis, Cost of Revenue rose in four of the last eight quarters, with growth averaging 6.0%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 20.3% in fiscal Q3 2026, against a decline of 14.7% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $94 million (Q2 2026), $99.5 million (Q1 2026) and $105.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 392.40 Mn |
| 10 | Embecta | 380.19 Mn | -446.21 Mn | 153.30 Mn | 118.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.40 Mn |
| Mar 31, 2026 | 94.00 Mn |
| Dec 31, 2025 | 99.50 Mn |
| Sep 30, 2025 | 105.50 Mn |
| Jun 30, 2025 | 98.40 Mn |
| Mar 31, 2025 | 94.90 Mn |
| Dec 31, 2024 | 104.80 Mn |
| Sep 30, 2024 | 112.30 Mn |
| Jun 30, 2024 | 82.40 Mn |
| Mar 31, 2024 | 101.80 Mn |
| Dec 31, 2023 | 91.40 Mn |
| Sep 30, 2023 | 100.10 Mn |
| Jun 30, 2023 | 96.60 Mn |
| Mar 31, 2023 | 87.30 Mn |
| Dec 31, 2022 | 86.90 Mn |
| Sep 30, 2022 | 97.70 Mn |
| Jun 30, 2022 | 88.20 Mn |
| Mar 31, 2022 | 83.30 Mn |
| Dec 31, 2021 | 85.40 Mn |
| Sep 30, 2021 | 90.60 Mn |
API Access
Embecta Cost of Revenue 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=cost-of-revenue&ticker=EMBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();