Embecta (EMBC) Total Liabilities (2020 - 2026)
Embecta's (EMBC) quarterly Total Liabilities came in at $1.9 billion in Q2 2026, up 2.8% year-over-year from $1.8 billion in Q2 2025, and up 13.45% quarter-over-quarter from $1.7 billion in Q1 2026.
Embecta (EMBC) Total Liabilities (2020 - 2026) Analysis & Trends
Embecta has disclosed Total Liabilities across 7 years of filings, most recently posting $1.9 billion for Q2 2026.
- In Q2 2026, Total Liabilities rose 2.8% year-over-year to $1.9 billion; the TTM figure through Jun 2026 stood at $1.9 billion (up 2.8% YoY), while the FY2025 annual figure was $1.7 billion, down 13.94% from the prior year.
- Total Liabilities came in at $1.9 billion for Q2 2026 at Embecta, up from $1.7 billion in the prior quarter.
- In the past five years, Total Liabilities ranged from a high of $2.1 billion in Q2 2023 to a low of $1.7 billion in Q1 2026.
- Average Total Liabilities over 5 years is $1.9 billion, with a median of $1.9 billion recorded in 2024.
- Year-over-year, Total Liabilities soared 973.39% in 2022 and slipped 13.94% in 2025.
- Over 5 years, Total Liabilities stood at $2.0 billion in 2022, then dropped by 1.07% to $2.0 billion in 2023, then fell by 4.62% to $1.9 billion in 2024, then dropped by 12.59% to $1.7 billion in 2025, then climbed by 12.0% to $1.9 billion in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $1.9 billion in Q2 2026, $1.7 billion in Q1 2026, and $1.7 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn | 57.45 Bn |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn | 2.58 Bn |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn | 42.46 Bn |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn | 23.94 Bn |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn | 20.04 Bn |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn | 3.14 Bn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn | 3.83 Bn |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn | 2.38 Bn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn | 9.50 Bn |
| 10 | Embecta | 300.30 Mn | 82.10 Mn | 153.30 Mn | 1.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.88 Bn |
| Mar 31, 2026 | 1.66 Bn |
| Dec 31, 2025 | 1.68 Bn |
| Sep 30, 2025 | 1.74 Bn |
| Jun 30, 2025 | 1.83 Bn |
| Mar 31, 2025 | 1.86 Bn |
| Dec 31, 2024 | 1.92 Bn |
| Sep 30, 2024 | 2.02 Bn |
| Jun 30, 2024 | 2.03 Bn |
| Mar 31, 2024 | 1.97 Bn |
| Dec 31, 2023 | 2.01 Bn |
| Sep 30, 2023 | 2.04 Bn |
| Jun 30, 2023 | 2.06 Bn |
| Mar 31, 2023 | 2.03 Bn |
| Dec 31, 2022 | 2.03 Bn |
| Sep 30, 2022 | 1.98 Bn |
| Jun 30, 2022 | 1.90 Bn |
| Mar 31, 2022 | 1.80 Bn |
| Dec 31, 2021 | 189.40 Mn |
| Sep 30, 2021 | 193.70 Mn |
Embecta Total Liabilities 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-liabilities&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();