Haemonetics (HAE) Gross Margin (2009 - 2026)
Haemonetics (HAE) posted Gross Margin of 59.76% for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 0.06 percentage points from 59.82% a year earlier but up 2.53 percentage points from the prior quarter.
Haemonetics (HAE) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Gross Margin at Haemonetics was 59.03%, up 2.11 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 59.04%, up 4.00 percentage points from FY2025.
- Annual Gross Margin has increased for five consecutive fiscal years, with a five-year change of +13.33 percentage points (FY2021 to FY2026).
- In prior fiscal years, Haemonetics' Gross Margin was 55.04% in FY2025 (+2.21 pp), 52.83% in FY2024 (+0.20 pp), 52.63% in FY2023 (+1.74 pp) and 50.90% in FY2022 (+5.19 pp).
- Quarterly Gross Margin has run from a low of 51.08% in fiscal Q2 2022 to a high of 59.82% in fiscal Q1 2026 over five years.
- On a year-over-year basis, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +3.30 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q4 2022, with a gain of 15.08 percentage points; the weakest was fiscal Q1 2025, with a drop of 1.69 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 57.23% (Q4 2026), 59.71% (Q3 2026) and 59.50% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 40.70% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.71% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 57.64% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 67.78% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 64.99% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 68.27% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 70.71% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 77.46% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 46.46% |
| 10 | Haemonetics | 4.79 Bn | 3.66 Bn | 202.80 Mn | 59.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 59.76% |
| Mar 28, 2026 | 57.23% |
| Dec 27, 2025 | 59.71% |
| Sep 27, 2025 | 59.50% |
| Jun 28, 2025 | 59.82% |
| Mar 29, 2025 | 58.39% |
| Dec 28, 2024 | 55.53% |
| Sep 28, 2024 | 54.25% |
| Jun 29, 2024 | 52.03% |
| Mar 30, 2024 | 51.24% |
| Dec 30, 2023 | 52.90% |
| Sep 30, 2023 | 53.59% |
| Jul 1, 2023 | 53.73% |
| Apr 1, 2023 | 51.33% |
| Dec 31, 2022 | 51.98% |
| Oct 1, 2022 | 53.07% |
| Jul 2, 2022 | 54.41% |
| Apr 2, 2022 | 51.44% |
| Jan 1, 2022 | 53.34% |
| Oct 2, 2021 | 51.08% |
Haemonetics Gross Margin 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=gross-margin&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();