Haemonetics (HAE) Operating Income (2009 - 2026)
Haemonetics' Operating Income was $57.46 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 6.7% from $53.87 million a year earlier.
Powered by 
Analysis
Haemonetics (HAE) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Haemonetics' Operating Income was $160.32 million through Jun 27, 2026, down 32.0% year-over-year; for FY2026 (ended Mar 28, 2026), it was $156.73 million, down 29.3% from FY2025.
- Operating Income shows a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Income was $221.82 million in FY2025 (+34.5%), $164.88 million in FY2024 (+5.7%), $156.03 million in FY2023 (+93.2%) and $80.75 million in FY2022 (-10.0%).
- Quarterly Operating Income has moved between -$23.03 million (fiscal Q4 2026) and $71.34 million (fiscal Q4 2025) over five years.
- The best year-over-year quarter for Operating Income over five years was fiscal Q4 2025 (growth of 138.2%); the worst was fiscal Q2 2022 (a decline of 58.3%).
- Per Business Quant data, HAE's Operating Income in the three fiscal quarters before Q1 2027 was -$23.03 million (Q4 2026), $67.4 million (Q3 2026) and $58.49 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 57.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 57.46 Mn |
| Mar 28, 2026 | -23.03 Mn |
| Dec 27, 2025 | 67.40 Mn |
| Sep 27, 2025 | 58.49 Mn |
| Jun 28, 2025 | 53.87 Mn |
| Mar 29, 2025 | 71.34 Mn |
| Dec 28, 2024 | 59.03 Mn |
| Sep 28, 2024 | 51.70 Mn |
| Jun 29, 2024 | 39.76 Mn |
| Mar 30, 2024 | 29.94 Mn |
| Dec 30, 2023 | 45.98 Mn |
| Sep 30, 2023 | 35.30 Mn |
| Jul 1, 2023 | 53.66 Mn |
| Apr 1, 2023 | 35.26 Mn |
| Dec 31, 2022 | 43.28 Mn |
| Oct 1, 2022 | 46.73 Mn |
| Jul 2, 2022 | 30.77 Mn |
| Apr 2, 2022 | 19.20 Mn |
| Jan 1, 2022 | 35.65 Mn |
| Oct 2, 2021 | 24.51 Mn |
API Access
Haemonetics Operating Income 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-income&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();