Haemonetics (HAE) Divestments (2017 - 2024)
Haemonetics (HAE) recorded Divestments of $43.29 million in FY2025 (year ended Mar 29, 2025), compared with $1.5 million in FY2024.
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Analysis
Haemonetics (HAE) Divestments (2017 - 2024) Analysis & Trends
Starting with FY2018, Haemonetics' Divestments history includes 7 fiscal years.
- Annual Divestments has a five-year compound annual growth rate of 34.6% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Divestments since FY2021.
- Per Business Quant data, HAE's Divestments was $1.5 million in FY2024 (+76.5%), $850,000 in FY2023 (-92.0%), $10.64 million in FY2022 (-76.1%) and $44.59 million in FY2021 (+354.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (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 | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 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 30, 2024 | 1.50 Mn |
| Jan 1, 2022 | 10.64 Mn |
| Dec 26, 2020 | -391,000.00 |
| Sep 26, 2020 | 44.98 Mn |
| Jun 29, 2019 | 9.81 Mn |
| Jul 1, 2017 | 9.00 Mn |
API Access
Haemonetics Divestments 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=divestments&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();