Haemonetics (HAE) Long-Term Debt Issuances (2018 - 2026)
Haemonetics' Long-Term Debt Issuances came in at $300 million for fiscal Q4 2026 (quarter ended Mar 28, 2026).
Analysis
Haemonetics (HAE) Long-Term Debt Issuances (2018 - 2026) Analysis & Trends
Going back to fiscal Q1 2019, Haemonetics' Long-Term Debt Issuances data covers 5 quarters.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -9.7% (FY2021 to FY2026).
- Going back by fiscal year, Long-Term Debt Issuances was $700 million in FY2025 (+536.4%), $110 million in FY2024 (-60.7%) and $280 million in FY2023.
- The fiscal Q4 2026 figure represents the highest quarterly Long-Term Debt Issuances since fiscal Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (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 | -33.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 6.56 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 | - |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 300.00 Mn |
| Mar 29, 2025 | 250.00 Mn |
| Jun 29, 2024 | 700.00 Mn |
| Dec 30, 2023 | 110.00 Mn |
| Apr 1, 2023 | 280.00 Mn |
| Jun 30, 2018 | 347.78 Mn |
API Access
Haemonetics Long-Term Debt Issuances 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-issuances&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();