Embecta (EMBC) Capital Expenditures (2020 - 2026)
Embecta (EMBC) recorded Capital Expenditures of $1.1 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 175.0% from $400,000 a year earlier and up 120.0% from the prior quarter.
Embecta (EMBC) Capital Expenditures (2020 - 2026) Analysis & Trends
On a TTM basis, Embecta's Capital Expenditures came in at $9.5 million as of Jun 30, 2026, up 375.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $9.3 million, down 41.1% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -26.0% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $15.8 million in FY2024 (-40.4%), $26.5 million in FY2023 (+12.3%), $23.6 million in FY2022 (-35.9%) and $36.8 million in FY2021 (-12.2%).
- Quarterly Capital Expenditures has ranged from $100,000 in fiscal Q2 2025 to $12.8 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in two of the last six quarters, with growth averaging 46.3%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 400.0% in fiscal Q2 2026, against a decline of 97.1% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $500,000 (Q2 2026), $600,000 (Q1 2026) and $7.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.15 Bn | 232.18 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.44 Bn | 142.25 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 154.23 Bn | 133.65 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 120.57 Bn | 85.82 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 116.19 Bn | 102.31 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 67.44 Bn | 62.21 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 53.06 Bn | 50.21 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.75 Bn | 34.75 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Embecta | 378.94 Mn | -447.46 Mn | 153.30 Mn | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Mn |
| Mar 31, 2026 | 500,000.00 |
| Dec 31, 2025 | 600,000.00 |
| Sep 30, 2025 | 7.30 Mn |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 1.50 Mn |
| Jun 30, 2024 | 9.70 Mn |
| Mar 31, 2024 | 3.40 Mn |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 9.20 Mn |
| Jun 30, 2023 | 6.80 Mn |
| Mar 31, 2023 | 5.80 Mn |
| Dec 31, 2022 | 4.70 Mn |
| Sep 30, 2022 | 8.60 Mn |
| Jun 30, 2022 | 5.30 Mn |
| Mar 31, 2022 | 5.40 Mn |
| Dec 31, 2021 | 4.30 Mn |
| Sep 30, 2021 | 12.80 Mn |
| Jun 30, 2021 | 7.40 Mn |
Embecta Capital Expenditures 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=capital-expenditures&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();