Embecta (EMBC) Total Debt (2022 - 2026)
Embecta's (EMBC) quarterly Total Debt came in at $1.5 billion in Q2 2026, down 0.9% year-over-year from $1.5 billion in Q2 2025, and up 9.7% quarter-over-quarter from $1.3 billion in Q1 2026.
Embecta (EMBC) Total Debt (2022 - 2026) Analysis & Trends
Embecta has disclosed Total Debt across 5 years of filings, most recently posting $1.5 billion for Q2 2026.
- In Q2 2026, Total Debt fell 0.9% year-over-year to $1.5 billion; the TTM figure through Jun 2026 stood at $1.5 billion (down 0.9% YoY), while the FY2025 annual figure was $1.4 billion, down 11.21% from the prior year.
- Total Debt came in at $1.5 billion for Q2 2026 at Embecta, up from $1.3 billion in the prior quarter.
- In the past five years, Total Debt ranged from a high of $1.6 billion in Q2 2022 to a low of $1.3 billion in Q1 2026.
- Average Total Debt over 5 years is $1.5 billion, with a median of $1.6 billion recorded in 2024.
- Year-over-year, Total Debt grew 13.61% in 2023 and declined 12.66% in 2026.
- Over 5 years, Total Debt stood at $1.6 billion in 2022, then slipped by 0.26% to $1.6 billion in 2023, then fell by 3.63% to $1.5 billion in 2024, then fell by 11.77% to $1.4 billion in 2025, then increased by 6.8% to $1.5 billion in 2026.
- Per Business Quant data, the three most recent Total Debt figures were $1.5 billion in Q2 2026, $1.3 billion in Q1 2026, and $1.4 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn | 32.61 Bn |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn | - |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn | 28.15 Bn |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn | 14.94 Bn |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn | 12.62 Bn |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn | 598.70 Mn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn | - |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn | 919.32 Mn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn | 4.15 Bn |
| 10 | Embecta | 300.30 Mn | 82.10 Mn | 153.30 Mn | 1.46 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Bn |
| Mar 31, 2026 | 1.33 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Sep 30, 2025 | 1.40 Bn |
| Jun 30, 2025 | 1.47 Bn |
| Mar 31, 2025 | 1.52 Bn |
| Dec 31, 2024 | 1.54 Bn |
| Sep 30, 2024 | 1.57 Bn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | 1.60 Bn |
| Dec 31, 2023 | 1.60 Bn |
| Sep 30, 2023 | 1.60 Bn |
| Jun 30, 2023 | 1.60 Bn |
| Mar 31, 2023 | 1.61 Bn |
| Dec 31, 2022 | 1.61 Bn |
| Sep 30, 2022 | 1.61 Bn |
| Jun 30, 2022 | 1.61 Bn |
| Mar 31, 2022 | 1.41 Bn |
Embecta Total Debt 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=total-debt&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();