Haemonetics (HAE) Non-Current Debt (2010 - 2026)
Haemonetics (HAE) recorded Non-Current Debt of $1.17 billion in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 27.0% from $920.83 million a year earlier but down 4.1% from the prior quarter.
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Analysis
Haemonetics (HAE) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics reported Non-Current Debt of $1.22 billion, up 32.4% from FY2025.
- Annual Non-Current Debt has increased for four straight fiscal years, with a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Debt came in at $921.23 million in FY2025 (+15.5%), $797.56 million in FY2024 (+5.8%), $754.1 million in FY2023 (+34.8%) and $559.44 million in FY2022 (-19.0%).
- Quarterly Non-Current Debt has ranged from $559.44 million in fiscal Q4 2022 to $1.22 billion in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Non-Current Debt rose in five of the last eight quarters, with growth averaging 13.3%.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 135.0% in fiscal Q2 2022, against a decline of 24.6% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.22 billion (Q4 2026), $919.99 million (Q3 2026) and $920.39 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 1.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.17 Bn |
| Mar 28, 2026 | 1.22 Bn |
| Dec 27, 2025 | 919.99 Mn |
| Sep 27, 2025 | 920.39 Mn |
| Jun 28, 2025 | 920.83 Mn |
| Mar 29, 2025 | 921.23 Mn |
| Dec 28, 2024 | 1.22 Bn |
| Sep 28, 2024 | 1.22 Bn |
| Jun 29, 2024 | 1.22 Bn |
| Mar 30, 2024 | 797.56 Mn |
| Dec 30, 2023 | 856.85 Mn |
| Sep 30, 2023 | 748.66 Mn |
| Jul 1, 2023 | 751.38 Mn |
| Apr 1, 2023 | 754.10 Mn |
| Dec 31, 2022 | 756.83 Mn |
| Oct 1, 2022 | 759.55 Mn |
| Jul 2, 2022 | 763.14 Mn |
| Apr 2, 2022 | 559.44 Mn |
| Jan 1, 2022 | 633.12 Mn |
| Oct 2, 2021 | 698.04 Mn |
API Access
Haemonetics Non-Current 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=non-current-debt&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();