Haemonetics (HAE) Cost of Revenue (2009 - 2026)
Haemonetics (HAE) reported Cost of Revenue of $136.58 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 5.8% from $129.15 million a year earlier but down 7.8% from the prior quarter.
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Analysis
Haemonetics (HAE) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Haemonetics' Cost of Revenue came in at $553.87 million, down 4.5% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $546.44 million, down 10.7% from FY2025.
- Cost of Revenue has a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $611.87 million in FY2025 (-0.9%), $617.51 million in FY2024 (+11.6%), $553.56 million in FY2023 (+13.5%) and $487.69 million in FY2022 (+3.2%).
- Five-year quarterly Cost of Revenue spans a low of $117.36 million in fiscal Q2 2022 and a high of $167.38 million in fiscal Q4 2024.
- Year over year, Cost of Revenue gained in three of the last eight quarters, with an average decline of 5.9%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2023 (growth of 20.9%); the low point was fiscal Q1 2026 (a decline of 19.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $148.14 million (Q4 2026), $136.58 million (Q3 2026) and $132.57 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Haemonetics | 4.76 Bn | 3.63 Bn | 202.80 Mn | 136.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 136.58 Mn |
| Mar 28, 2026 | 148.14 Mn |
| Dec 27, 2025 | 136.58 Mn |
| Sep 27, 2025 | 132.57 Mn |
| Jun 28, 2025 | 129.15 Mn |
| Mar 29, 2025 | 137.55 Mn |
| Dec 28, 2024 | 155.00 Mn |
| Sep 28, 2024 | 158.07 Mn |
| Jun 29, 2024 | 161.25 Mn |
| Mar 30, 2024 | 167.38 Mn |
| Dec 30, 2023 | 158.38 Mn |
| Sep 30, 2023 | 147.67 Mn |
| Jul 1, 2023 | 144.07 Mn |
| Apr 1, 2023 | 148.17 Mn |
| Dec 31, 2022 | 146.59 Mn |
| Oct 1, 2022 | 139.61 Mn |
| Jul 2, 2022 | 119.20 Mn |
| Apr 2, 2022 | 128.69 Mn |
| Jan 1, 2022 | 121.20 Mn |
| Oct 2, 2021 | 117.36 Mn |
API Access
Haemonetics Cost of 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=cost-of-revenue&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();