Haemonetics (HAE) Revenue (2009 - 2026)
Haemonetics (HAE) posted Revenue of $339.38 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 5.6% from $321.39 million a year earlier but down 2.0% from the prior quarter.
Haemonetics (HAE) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Revenue at Haemonetics was $1.35 billion, up 0.4% year-over-year; for FY2026 (ended Mar 28, 2026), it was $1.33 billion, down 2.0% from FY2025.
- Annual Revenue shows a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- In prior fiscal years, Haemonetics' Revenue was $1.36 billion in FY2025 (+4.0%), $1.31 billion in FY2024 (+12.0%), $1.17 billion in FY2023 (+17.7%) and $993.2 million in FY2022 (+14.1%).
- Quarterly Revenue has run from a low of $239.9 million in fiscal Q2 2022 to a high of $348.54 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Revenue increased in four of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q2 2023, with growth of 24.0%; the weakest was fiscal Q2 2026, with a decline of 5.3%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $346.35 million (Q4 2026), $338.97 million (Q3 2026) and $327.32 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 339.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 339.38 Mn |
| Mar 28, 2026 | 346.35 Mn |
| Dec 27, 2025 | 338.97 Mn |
| Sep 27, 2025 | 327.32 Mn |
| Jun 28, 2025 | 321.39 Mn |
| Mar 29, 2025 | 330.60 Mn |
| Dec 28, 2024 | 348.54 Mn |
| Sep 28, 2024 | 345.51 Mn |
| Jun 29, 2024 | 336.17 Mn |
| Mar 30, 2024 | 343.29 Mn |
| Dec 30, 2023 | 336.25 Mn |
| Sep 30, 2023 | 318.18 Mn |
| Jul 1, 2023 | 311.33 Mn |
| Apr 1, 2023 | 304.42 Mn |
| Dec 31, 2022 | 305.30 Mn |
| Oct 1, 2022 | 297.49 Mn |
| Jul 2, 2022 | 261.46 Mn |
| Apr 2, 2022 | 265.00 Mn |
| Jan 1, 2022 | 259.77 Mn |
| Oct 2, 2021 | 239.90 Mn |
Haemonetics Revenue 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=revenue&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();