Embecta (EMBC) Long-Term Debt Repayments (2022 - 2026)
Embecta's Long-Term Debt Repayments was $2.4 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 95.4% from $52.4 million a year earlier and down 93.6% from the prior quarter.
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Analysis
Embecta (EMBC) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Embecta's Long-Term Debt Repayments was $149.8 million through Jun 30, 2026, up 7.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $184.6 million, up 433.5% from FY2024.
- Long-Term Debt Repayments has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 237.5% (FY2022 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $34.6 million in FY2024 (+264.2%), $9.5 million in FY2023 (+97.9%) and $4.8 million in FY2022.
- Quarterly Long-Term Debt Repayments has moved between $2.3 million (fiscal Q3 2023) and $72.4 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last four quarters, with growth averaging 30.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q4 2025 (growth of 164.2%); the worst was fiscal Q3 2026 (a decline of 95.4%).
- Per Business Quant data, EMBC's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $37.5 million (Q2 2026), $37.5 million (Q1 2026) and $72.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.70 Bn | 233.73 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.59 Bn | 150.02 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 158.34 Bn | 142.15 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 155.01 Bn | 134.44 Bn | 1.96 Bn | - |
| 5 | Medtronic | 120.80 Bn | 86.05 Bn | 6.34 Bn | - |
| 6 | Stryker | 116.57 Bn | 102.68 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.65 Bn | 61.42 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.03 Bn | 50.18 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.70 Bn | 34.71 Bn | 1.35 Bn | - |
| 10 | Embecta | 369.59 Mn | -456.81 Mn | 153.30 Mn | 2.80 Mn |
Historic Data
Download Data
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 |
API Access
Embecta Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EMBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();