Haemonetics (HAE) Total Non-Current Liabilities (2010 - 2026)
Haemonetics (HAE) recorded Total Non-Current Liabilities of $1.47 billion in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 2.7% from $1.51 billion a year earlier and down 4.5% from the prior quarter.
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Analysis
Haemonetics (HAE) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics reported Total Non-Current Liabilities of $1.54 billion, down 1.4% from FY2025.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 9.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $1.56 billion in FY2025 (+34.6%), $1.16 billion in FY2024 (+11.4%), $1.04 billion in FY2023 (+1.1%) and $1.03 billion in FY2022 (+4.3%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities has declined for five consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 104.2% in fiscal Q3 2022, against a decline of 4.3% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.54 billion (Q4 2026), $1.52 billion (Q3 2026) and $1.53 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | 1.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.47 Bn |
| Mar 28, 2026 | 1.54 Bn |
| Dec 27, 2025 | 1.52 Bn |
| Sep 27, 2025 | 1.53 Bn |
| Jun 28, 2025 | 1.51 Bn |
| Mar 29, 2025 | 1.56 Bn |
| Dec 28, 2024 | 1.53 Bn |
| Sep 28, 2024 | 1.56 Bn |
| Jun 29, 2024 | 1.54 Bn |
| Mar 30, 2024 | 1.16 Bn |
| Dec 30, 2023 | 1.18 Bn |
| Sep 30, 2023 | 1.05 Bn |
| Jul 1, 2023 | 1.03 Bn |
| Apr 1, 2023 | 1.04 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Oct 1, 2022 | 1.06 Bn |
| Jul 2, 2022 | 976.25 Mn |
| Apr 2, 2022 | 1.03 Bn |
| Jan 1, 2022 | 1.01 Bn |
| Oct 2, 2021 | 1.01 Bn |
API Access
Haemonetics Total Non-Current 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-non-current-liabilities&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();