Haemonetics (HAE) Acquisitions (2013 - 2026)
Haemonetics (HAE) recorded Acquisitions of $60.18 million in fiscal Q4 2026 (quarter ended Mar 28, 2026).
Analysis
Haemonetics (HAE) Acquisitions (2013 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Haemonetics' Acquisitions history includes 13 quarters.
- Annual Acquisitions has a five-year compound annual growth rate of -32.7% (FY2021 to FY2026).
- Across earlier fiscal years, Acquisitions came in at $150.91 million in FY2025 (-38.1%), $243.85 million in FY2024, $2.85 million in FY2023 (+14.0%) and $2.5 million in FY2022 (-99.4%).
- The fiscal Q4 2026 figure is the highest quarterly Acquisitions since fiscal Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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 | 164.00 Mn |
| 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 | 1.16 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 437.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 22.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.10 Mn |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 60.18 Mn |
| Sep 28, 2024 | 1.76 Mn |
| Jun 29, 2024 | 149.15 Mn |
| Dec 30, 2023 | 243.85 Mn |
| Jul 2, 2022 | 2.85 Mn |
| Jul 3, 2021 | 2.50 Mn |
| Apr 3, 2021 | 418.20 Mn |
| Jun 27, 2020 | 16.61 Mn |
| Mar 29, 2014 | -23.12 Mn |
| Jun 29, 2013 | 23.12 Mn |
| Mar 30, 2013 | 31,000.00 |
API Access
Haemonetics Acquisitions 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=acquisitions&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();