Haemonetics (HAE) Total Current Liabilities (2010 - 2026)
Haemonetics (HAE) recorded Total Current Liabilities of $263.24 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 50.5% from $531.41 million a year earlier and down 6.9% from the prior quarter.
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Analysis
Haemonetics (HAE) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics reported Total Current Liabilities of $282.6 million, down 51.1% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 2.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $578.11 million in FY2025 (+92.5%), $300.38 million in FY2024 (+19.3%), $251.82 million in FY2023 (-43.1%) and $442.27 million in FY2022 (+74.5%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Current Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Total Current Liabilities rose in five of the last eight quarters, with growth averaging 38.6%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 113.2% in fiscal Q3 2026, against a decline of 51.1% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $282.6 million (Q4 2026), $539.87 million (Q3 2026) and $548.32 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | 263.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 263.24 Mn |
| Mar 28, 2026 | 282.60 Mn |
| Dec 27, 2025 | 539.87 Mn |
| Sep 27, 2025 | 548.32 Mn |
| Jun 28, 2025 | 531.41 Mn |
| Mar 29, 2025 | 578.11 Mn |
| Dec 28, 2024 | 253.23 Mn |
| Sep 28, 2024 | 273.95 Mn |
| Jun 29, 2024 | 260.08 Mn |
| Mar 30, 2024 | 300.38 Mn |
| Dec 30, 2023 | 261.76 Mn |
| Sep 30, 2023 | 264.22 Mn |
| Jul 1, 2023 | 236.94 Mn |
| Apr 1, 2023 | 251.82 Mn |
| Dec 31, 2022 | 226.89 Mn |
| Oct 1, 2022 | 262.18 Mn |
| Jul 2, 2022 | 180.49 Mn |
| Apr 2, 2022 | 442.27 Mn |
| Jan 1, 2022 | 355.41 Mn |
| Oct 2, 2021 | 288.47 Mn |
API Access
Haemonetics Total 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-current-liabilities&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();