Haemonetics (HAE) Research & Development (2009 - 2026)
Haemonetics' Research & Development was $16.2 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 0.4% from $16.26 million a year earlier but up 12.1% from the prior quarter.
Haemonetics (HAE) Research & Development (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Haemonetics' Research & Development was $59.71 million through Jun 27, 2026, down 7.5% year-over-year; for FY2026 (ended Mar 28, 2026), it was $59.77 million, down 4.7% from FY2025.
- Research & Development shows a five-year compound annual growth rate of 12.7% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $62.72 million in FY2025 (+15.2%), $54.44 million in FY2024 (+8.6%), $50.13 million in FY2023 (+7.1%) and $46.8 million in FY2022 (+42.4%).
- Quarterly Research & Development has moved between $10.04 million (fiscal Q3 2022) and $18.31 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Research & Development has declined for three straight quarters, with growth averaging 4.0% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was fiscal Q2 2022 (growth of 60.5%); the worst was fiscal Q4 2026 (a decline of 21.1%).
- Per Business Quant data, HAE's Research & Development in the three fiscal quarters before Q1 2027 was $14.45 million (Q4 2026), $14.19 million (Q3 2026) and $14.87 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 16.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 16.20 Mn |
| Mar 28, 2026 | 14.45 Mn |
| Dec 27, 2025 | 14.19 Mn |
| Sep 27, 2025 | 14.87 Mn |
| Jun 28, 2025 | 16.26 Mn |
| Mar 29, 2025 | 18.31 Mn |
| Dec 28, 2024 | 15.83 Mn |
| Sep 28, 2024 | 14.14 Mn |
| Jun 29, 2024 | 14.45 Mn |
| Mar 30, 2024 | 15.86 Mn |
| Dec 30, 2023 | 13.27 Mn |
| Sep 30, 2023 | 12.67 Mn |
| Jul 1, 2023 | 12.65 Mn |
| Apr 1, 2023 | 15.64 Mn |
| Dec 31, 2022 | 12.69 Mn |
| Oct 1, 2022 | 10.90 Mn |
| Jul 2, 2022 | 10.90 Mn |
| Apr 2, 2022 | 13.21 Mn |
| Jan 1, 2022 | 10.04 Mn |
| Oct 2, 2021 | 10.85 Mn |
Haemonetics Research & Development 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=research-and-development&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();