Haemonetics (HAE) Operating Expenses (2009 - 2026)
Haemonetics (HAE) reported Operating Expenses of $145.35 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 5.0% from $138.37 million a year earlier but down 34.3% from the prior quarter.
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Analysis
Haemonetics (HAE) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Haemonetics' Operating Expenses came in at $637.83 million, up 20.3% year-over-year; for FY2026 (ended Mar 28, 2026), it was $630.85 million, up 19.7% from FY2025.
- Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 15.4% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $527.14 million in FY2025 (+0.1%), $526.67 million in FY2024 (+14.7%), $459.06 million in FY2023 (+8.1%) and $424.75 million in FY2022 (+37.9%).
- Five-year quarterly Operating Expenses spans a low of $98.03 million in fiscal Q2 2022 and a high of $221.24 million in fiscal Q4 2026.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 9.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2022 (growth of 108.7%); the low point was fiscal Q4 2025 (a decline of 16.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $221.24 million (Q4 2026), $134.99 million (Q3 2026) and $136.25 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | 145.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 145.35 Mn |
| Mar 28, 2026 | 221.24 Mn |
| Dec 27, 2025 | 134.99 Mn |
| Sep 27, 2025 | 136.25 Mn |
| Jun 28, 2025 | 138.37 Mn |
| Mar 29, 2025 | 121.72 Mn |
| Dec 28, 2024 | 134.52 Mn |
| Sep 28, 2024 | 135.74 Mn |
| Jun 29, 2024 | 135.17 Mn |
| Mar 30, 2024 | 145.96 Mn |
| Dec 30, 2023 | 131.89 Mn |
| Sep 30, 2023 | 135.21 Mn |
| Jul 1, 2023 | 113.61 Mn |
| Apr 1, 2023 | 120.99 Mn |
| Dec 31, 2022 | 115.43 Mn |
| Oct 1, 2022 | 111.15 Mn |
| Jul 2, 2022 | 111.50 Mn |
| Apr 2, 2022 | 117.11 Mn |
| Jan 1, 2022 | 102.91 Mn |
| Oct 2, 2021 | 98.03 Mn |
API Access
Haemonetics Operating Expenses 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-expenses&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();