Embecta (EMBC) Net Long-Term Debt Issued (Repaid) (2022 - 2026)
Embecta (EMBC) reported Non-Current Debt of $1.32 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.8% from $1.46 billion a year earlier and down 0.1% from the prior quarter.
Embecta (EMBC) Net Long-Term Debt Issued (Repaid) (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Embecta posted Non-Current Debt of $1.39 billion, down 11.3% from FY2024.
- Non-Current Debt has declined for three consecutive fiscal years, with a three-year compound annual growth rate of -4.6% (FY2022 to FY2025).
- By fiscal year, Non-Current Debt came in at $1.57 billion in FY2024 (-1.8%), $1.59 billion in FY2023 (-0.3%) and $1.6 billion in FY2022.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Non-Current Debt in data going back to fiscal Q2 2022.
- Year over year, Non-Current Debt has now declined in each of the last 13 quarters, with an average decline of 8.1% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was fiscal Q2 2023 (growth of 13.7%); the low point was fiscal Q2 2026 (a decline of 12.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.32 billion (Q2 2026), $1.35 billion (Q1 2026) and $1.39 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | - |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | -2.00 Bn |
| 10 | Embecta | 365.49 Mn | -460.91 Mn | 153.30 Mn | -2.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.80 Mn |
| Mar 31, 2026 | -37.90 Mn |
| Dec 31, 2025 | -37.90 Mn |
| Sep 30, 2025 | -72.80 Mn |
| Jun 30, 2025 | -52.80 Mn |
| Mar 31, 2025 | -27.70 Mn |
| Dec 31, 2024 | -32.70 Mn |
| Sep 30, 2024 | -27.70 Mn |
| Jun 30, 2024 | -2.80 Mn |
| Mar 31, 2024 | -2.70 Mn |
| Dec 31, 2023 | -2.70 Mn |
| Sep 30, 2023 | -900,000.00 |
| Jun 30, 2023 | -3.20 Mn |
| Mar 31, 2023 | -3.30 Mn |
| Dec 31, 2022 | -3.30 Mn |
| Sep 30, 2022 | -3.30 Mn |
| Jun 30, 2022 | -3.30 Mn |
Embecta Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();