Haemonetics (HAE) Long-Term Debt Repayments (2010 - 2026)
Haemonetics (HAE) recorded Long-Term Debt Repayments of $50 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), compared with $1.56 million a year earlier and down 83.1% from the prior quarter.
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Analysis
Haemonetics (HAE) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Haemonetics' Long-Term Debt Repayments came in at $348.44 million as of Jun 27, 2026, up 154.2% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $300 million, up 61.7% from FY2025.
- Annual Long-Term Debt Repayments has increased for four straight fiscal years, with a five-year compound annual growth rate of 68.8% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $185.5 million in FY2025 (+209.2%), $60 million in FY2024 (+20.0%), $50 million in FY2023 (+185.7%) and $17.5 million in FY2022 (-20.0%).
- Quarterly Long-Term Debt Repayments has ranged from $1.56 million in fiscal Q2 2026 to $295.31 million in fiscal Q4 2026 over the past five years.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 902.9% in fiscal Q3 2023, against a decline of 96.9% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $295.31 million (Q4 2026), $1.56 million (Q3 2026) and $1.56 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | 51.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 51.56 Mn |
| Mar 28, 2026 | 301.56 Mn |
| Dec 27, 2025 | 1.56 Mn |
| Sep 27, 2025 | 1.56 Mn |
| Jun 28, 2025 | 1.56 Mn |
| Mar 29, 2025 | 187.06 Mn |
| Dec 28, 2024 | 1.56 Mn |
| Jun 29, 2024 | 51.56 Mn |
| Mar 30, 2024 | 63.50 Mn |
| Dec 30, 2023 | 3.50 Mn |
| Sep 30, 2023 | 3.50 Mn |
| Jul 1, 2023 | 1.75 Mn |
| Apr 1, 2023 | 1.75 Mn |
| Dec 31, 2022 | 51.75 Mn |
| Oct 1, 2022 | 1.75 Mn |
| Jul 2, 2022 | 4.38 Mn |
| Apr 2, 2022 | 4.38 Mn |
| Jan 1, 2022 | 4.38 Mn |
| Oct 2, 2021 | 4.38 Mn |
| Jul 3, 2021 | 4.38 Mn |
API Access
Haemonetics 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=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "HAE", "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=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();