Haemonetics (HAE) EBITDA Margin (2009 - 2026)
Haemonetics (HAE) recorded EBITDA Margin of 24.92% in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 0.79 percentage points from 25.71% a year earlier but up 23.68 percentage points from the prior quarter.
Haemonetics (HAE) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Haemonetics' EBITDA Margin came in at 20.00% as of Jun 27, 2026, down 6.09 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it was 20.12%, down 4.67 percentage points from FY2025.
- Annual EBITDA Margin has a five-year change of +0.13 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA Margin came in at 24.79% in FY2025 (+4.77 pp), 20.02% in FY2024 (-1.31 pp), 21.34% in FY2023 (+3.36 pp) and 17.97% in FY2022 (-2.02 pp).
- Quarterly EBITDA Margin has ranged from 1.24% in fiscal Q4 2026 to 30.11% in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in six of the last eight quarters, with an average year-over-year change of +0.54 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 16.28 percentage points in fiscal Q4 2022, against a drop of 28.87 percentage points in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 1.24% (Q4 2026), 27.96% (Q3 2026) and 26.50% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 24.62% |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 24.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 24.92% |
| Mar 28, 2026 | 1.24% |
| Dec 27, 2025 | 27.96% |
| Sep 27, 2025 | 26.50% |
| Jun 28, 2025 | 25.71% |
| Mar 29, 2025 | 30.11% |
| Dec 28, 2024 | 25.26% |
| Sep 28, 2024 | 23.42% |
| Jun 29, 2024 | 20.49% |
| Mar 30, 2024 | 16.77% |
| Dec 30, 2023 | 20.67% |
| Sep 30, 2023 | 18.33% |
| Jul 1, 2023 | 24.63% |
| Apr 1, 2023 | 19.42% |
| Dec 31, 2022 | 21.90% |
| Oct 1, 2022 | 23.59% |
| Jul 2, 2022 | 20.35% |
| Apr 2, 2022 | 16.61% |
| Jan 1, 2022 | 23.10% |
| Oct 2, 2021 | 20.03% |
Haemonetics EBITDA 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=ebitda-margin&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();