Haemonetics (HAE) Accounts Payables (2010 - 2026)
Haemonetics' Accounts Payables came in at $56.34 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 22.4% from $46.01 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Haemonetics (HAE) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics' Accounts Payables was $51.06 million, down 23.8% from FY2025.
- Accounts Payables carries a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Going back by fiscal year, Accounts Payables was $67 million in FY2025 (-8.7%), $73.36 million in FY2024 (+14.7%), $63.93 million in FY2023 (+9.5%) and $58.37 million in FY2022 (+16.1%).
- The five-year range for quarterly Accounts Payables is $44.97 million (fiscal Q2 2022) to $80.16 million (fiscal Q2 2024).
- Year-over-year, Accounts Payables increased in two of the last eight quarters, with an average decline of 10.8%.
- The fastest year-over-year change in Accounts Payables over five years came in fiscal Q2 2023 (growth of 36.7%), and the weakest in fiscal Q1 2026 (a decline of 40.2%).
- Business Quant data shows HAE's Accounts Payables at $51.06 million (Q4 2026), $48.69 million (Q3 2026) and $61.69 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Haemonetics | 5.35 Bn | 4.22 Bn | 202.80 Mn | 56.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 56.34 Mn |
| Mar 28, 2026 | 51.06 Mn |
| Dec 27, 2025 | 48.69 Mn |
| Sep 27, 2025 | 61.69 Mn |
| Jun 28, 2025 | 46.01 Mn |
| Mar 29, 2025 | 67.00 Mn |
| Dec 28, 2024 | 62.99 Mn |
| Sep 28, 2024 | 69.24 Mn |
| Jun 29, 2024 | 76.93 Mn |
| Mar 30, 2024 | 73.36 Mn |
| Dec 30, 2023 | 56.85 Mn |
| Sep 30, 2023 | 80.16 Mn |
| Jul 1, 2023 | 78.13 Mn |
| Apr 1, 2023 | 63.93 Mn |
| Dec 31, 2022 | 63.77 Mn |
| Oct 1, 2022 | 61.48 Mn |
| Jul 2, 2022 | 57.91 Mn |
| Apr 2, 2022 | 58.37 Mn |
| Jan 1, 2022 | 51.18 Mn |
| Oct 2, 2021 | 44.97 Mn |
API Access
Haemonetics Accounts Payables 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=accounts-payables&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();