Haemonetics (HAE) EV to EBITDA (2010 - 2026)
Haemonetics' (HAE) EV to EBITDA stood at 12.17 in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 31.1% from 9.29 a year earlier and up 48.5% from the prior quarter.
Haemonetics (HAE) EV to EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Haemonetics' EV to EBITDA came in at 8.82 as of Jun 27, 2026, up 32.7% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 8.20, up 0.9% from FY2025.
- Across earlier fiscal years, EV to EBITDA came in at 8.12 in FY2025 (-48.8%), 15.86 in FY2024 (+1.6%), 15.60 in FY2023 (-7.3%) and 16.83 in FY2022 (-46.8%).
- The fiscal Q1 2027 figure is the highest quarterly EV to EBITDA since fiscal Q2 2025.
- On a year-over-year basis, EV to EBITDA rose in two of the last eight quarters, with an average decline of 22.2%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 44.9% in fiscal Q2 2022, against a decline of 59.2% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 8.20 (Q4 2026), 9.34 (Q3 2026) and 5.48 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 12.17 |
| Mar 28, 2026 | 8.20 |
| Dec 27, 2025 | 9.34 |
| Sep 27, 2025 | 5.48 |
| Jun 28, 2025 | 9.29 |
| Mar 29, 2025 | 8.12 |
| Dec 28, 2024 | 12.10 |
| Sep 28, 2024 | 13.44 |
| Jun 29, 2024 | 15.29 |
| Mar 30, 2024 | 15.86 |
| Dec 30, 2023 | 15.74 |
| Sep 30, 2023 | 16.07 |
| Jul 1, 2023 | 14.78 |
| Apr 1, 2023 | 15.60 |
| Dec 31, 2022 | 15.98 |
| Oct 1, 2022 | 15.41 |
| Jul 2, 2022 | 15.78 |
| Apr 2, 2022 | 16.83 |
| Jan 1, 2022 | 18.30 |
| Oct 2, 2021 | 25.54 |
Haemonetics EV to EBITDA 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=ev-to-ebitda&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();