Embecta (EMBC) Total Liabilities (2021 - 2026)
Embecta (EMBC) recorded Total Liabilities of $1.88 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 2.8% from $1.83 billion a year earlier and up 13.4% from the prior quarter.
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Analysis
Embecta (EMBC) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Embecta reported Total Liabilities of $1.74 billion, down 13.9% from FY2024.
- Annual Total Liabilities has a four-year compound annual growth rate of 73.2% (FY2021 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $2.02 billion in FY2024 (-0.6%), $2.04 billion in FY2023 (+2.9%), $1.98 billion in FY2022 (+921.1%) and $193.7 million in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities since fiscal Q1 2025.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 6.9%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 973.4% in fiscal Q1 2023, against a decline of 13.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.66 billion (Q2 2026), $1.68 billion (Q1 2026) and $1.74 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.54 Bn | 238.57 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.34 Bn | 141.77 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 163.66 Bn | 147.47 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 150.35 Bn | 129.77 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 119.62 Bn | 84.87 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 112.78 Bn | 98.90 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 64.90 Bn | 59.67 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.20 Bn | 50.35 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.53 Bn | 34.53 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Embecta | 384.14 Mn | -442.26 Mn | 153.30 Mn | 1.88 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();