Haemonetics (HAE) EBT (2009 - 2026)
Haemonetics (HAE) posted EBT of $47.57 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 5.3% from $45.17 million a year earlier.
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Analysis
Haemonetics (HAE) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBT at Haemonetics was $130.44 million, down 38.0% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $128.03 million, down 39.6% from FY2025.
- Annual EBT shows a five-year compound annual growth rate of 11.9% (FY2021 to FY2026).
- In prior fiscal years, Haemonetics' EBT was $212.07 million in FY2025 (+39.6%), $151.87 million in FY2024 (+7.4%), $141.4 million in FY2023 (+122.2%) and $63.63 million in FY2022 (-12.7%).
- Quarterly EBT has run from a low of -$28.4 million in fiscal Q4 2026 to a high of $70.74 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBT increased in six of the last seven quarters, with growth averaging 41.2%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q4 2025, with growth of 202.1%; the weakest was fiscal Q2 2022, with a decline of 63.7%.
- According to Business Quant data, EBT for the three prior fiscal quarters was -$28.4 million (Q4 2026), $59.98 million (Q3 2026) and $51.29 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.05 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 519.80 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 554.00 Mn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 47.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 47.57 Mn |
| Mar 28, 2026 | -28.40 Mn |
| Dec 27, 2025 | 59.98 Mn |
| Sep 27, 2025 | 51.29 Mn |
| Jun 28, 2025 | 45.17 Mn |
| Mar 29, 2025 | 70.74 Mn |
| Dec 28, 2024 | 49.92 Mn |
| Sep 28, 2024 | 44.70 Mn |
| Jun 29, 2024 | 46.71 Mn |
| Mar 30, 2024 | 23.41 Mn |
| Dec 30, 2023 | 44.03 Mn |
| Sep 30, 2023 | 32.83 Mn |
| Jul 1, 2023 | 51.59 Mn |
| Apr 1, 2023 | 32.63 Mn |
| Dec 31, 2022 | 42.22 Mn |
| Oct 1, 2022 | 41.06 Mn |
| Jul 2, 2022 | 25.49 Mn |
| Apr 2, 2022 | 15.33 Mn |
| Jan 1, 2022 | 31.39 Mn |
| Oct 2, 2021 | 19.92 Mn |
API Access
Haemonetics EBT 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=ebt&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();