Haemonetics (HAE) Operating Margin (2009 - 2026)
Haemonetics' Operating Margin was 16.93% in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 0.17 percentage points from 16.76% a year earlier and up 23.58 percentage points from the prior quarter.
Haemonetics (HAE) Operating Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Haemonetics' Operating Margin was 11.86% through Jun 27, 2026, down 5.67 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it was 11.75%, down 4.55 percentage points from FY2025.
- Operating Margin shows a five-year change of +1.44 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was 16.30% in FY2025 (+3.70 pp), 12.60% in FY2024 (-0.76 pp), 13.35% in FY2023 (+5.22 pp) and 8.13% in FY2022 (-2.18 pp).
- Quarterly Operating Margin has moved between -6.65% (fiscal Q4 2026) and 21.58% (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Margin was higher in seven of the last eight quarters, with an average year-over-year change of +0.34 percentage points.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q4 2022 (a gain of 16.65 percentage points); the worst was fiscal Q4 2026 (a drop of 28.23 percentage points).
- Per Business Quant data, HAE's Operating Margin in the three fiscal quarters before Q1 2027 was -6.65% (Q4 2026), 19.88% (Q3 2026) and 17.87% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.26 Bn | 237.29 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 172.13 Bn | 142.56 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 163.58 Bn | 147.39 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 151.88 Bn | 131.31 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 119.19 Bn | 84.44 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 113.63 Bn | 99.75 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 65.06 Bn | 59.83 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 53.41 Bn | 50.56 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.75 Bn | 34.76 Bn | 1.35 Bn | 29.48% |
| 10 | Haemonetics | 5.35 Bn | 4.22 Bn | 202.80 Mn | 16.93% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 16.93% |
| Mar 28, 2026 | -6.65% |
| Dec 27, 2025 | 19.88% |
| Sep 27, 2025 | 17.87% |
| Jun 28, 2025 | 16.76% |
| Mar 29, 2025 | 21.58% |
| Dec 28, 2024 | 16.94% |
| Sep 28, 2024 | 14.96% |
| Jun 29, 2024 | 11.83% |
| Mar 30, 2024 | 8.72% |
| Dec 30, 2023 | 13.67% |
| Sep 30, 2023 | 11.10% |
| Jul 1, 2023 | 17.24% |
| Apr 1, 2023 | 11.58% |
| Dec 31, 2022 | 14.18% |
| Oct 1, 2022 | 15.71% |
| Jul 2, 2022 | 11.77% |
| Apr 2, 2022 | 7.24% |
| Jan 1, 2022 | 13.72% |
| Oct 2, 2021 | 10.22% |
Haemonetics Operating 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=operating-margin&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();