Haemonetics (HAE) Total Liabilities (2010 - 2026)
Haemonetics' Total Liabilities came in at $1.53 billion for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 3.3% from $1.58 billion a year earlier and down 4.5% from the prior quarter.
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Analysis
Haemonetics (HAE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics' Total Liabilities was $1.6 billion, down 1.9% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.63 billion in FY2025 (+31.9%), $1.24 billion in FY2024 (+10.6%), $1.12 billion in FY2023 (+0.6%) and $1.11 billion in FY2022 (+2.0%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q4 2024.
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with growth averaging 11.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2022 (growth of 83.8%), and the weakest in fiscal Q1 2023 (a decline of 6.0%).
- Business Quant data shows HAE's Total Liabilities at $1.6 billion (Q4 2026), $1.58 billion (Q3 2026) and $1.59 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 1.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.53 Bn |
| Mar 28, 2026 | 1.60 Bn |
| Dec 27, 2025 | 1.58 Bn |
| Sep 27, 2025 | 1.59 Bn |
| Jun 28, 2025 | 1.58 Bn |
| Mar 29, 2025 | 1.63 Bn |
| Dec 28, 2024 | 1.62 Bn |
| Sep 28, 2024 | 1.65 Bn |
| Jun 29, 2024 | 1.64 Bn |
| Mar 30, 2024 | 1.24 Bn |
| Dec 30, 2023 | 1.26 Bn |
| Sep 30, 2023 | 1.12 Bn |
| Jul 1, 2023 | 1.10 Bn |
| Apr 1, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.10 Bn |
| Oct 1, 2022 | 1.14 Bn |
| Jul 2, 2022 | 1.05 Bn |
| Apr 2, 2022 | 1.11 Bn |
| Jan 1, 2022 | 1.10 Bn |
| Oct 2, 2021 | 1.10 Bn |
API Access
Haemonetics Total 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-liabilities&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();