Haemonetics (HAE) Consolidated Net Income (2009 - 2026)
Haemonetics' Consolidated Net Income was $32.97 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 3.1% from $34.03 million a year earlier.
Haemonetics (HAE) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Haemonetics' Consolidated Net Income was $96.28 million through Jun 27, 2026, down 41.0% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $97.31 million, down 42.0% from FY2025.
- Consolidated Net Income shows a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- In earlier fiscal years, Consolidated Net Income was $167.68 million in FY2025 (+42.6%), $117.56 million in FY2024 (+1.9%), $115.4 million in FY2023 (+166.1%) and $43.38 million in FY2022 (-45.4%).
- Quarterly Consolidated Net Income has moved between -$20.12 million (fiscal Q4 2026) and $57.98 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Consolidated Net Income was higher in five of the last seven quarters, with growth averaging 37.0%.
- The best year-over-year quarter for Consolidated Net Income over five years was fiscal Q4 2023 (growth of 201.1%); the worst was fiscal Q2 2022 (a decline of 69.2%).
- Per Business Quant data, HAE's Consolidated Net Income in the three fiscal quarters before Q1 2027 was -$20.12 million (Q4 2026), $44.74 million (Q3 2026) and $38.68 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 1.74 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 823.20 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 241.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 377.00 Mn |
| 10 | Haemonetics | 4.76 Bn | 3.63 Bn | 202.80 Mn | 32.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 32.97 Mn |
| Mar 28, 2026 | -20.12 Mn |
| Dec 27, 2025 | 44.74 Mn |
| Sep 27, 2025 | 38.68 Mn |
| Jun 28, 2025 | 34.03 Mn |
| Mar 29, 2025 | 57.98 Mn |
| Dec 28, 2024 | 37.49 Mn |
| Sep 28, 2024 | 33.80 Mn |
| Jun 29, 2024 | 38.37 Mn |
| Mar 30, 2024 | 20.41 Mn |
| Dec 30, 2023 | 31.23 Mn |
| Sep 30, 2023 | 24.91 Mn |
| Jul 1, 2023 | 41.04 Mn |
| Apr 1, 2023 | 29.42 Mn |
| Dec 31, 2022 | 32.92 Mn |
| Oct 1, 2022 | 33.16 Mn |
| Jul 2, 2022 | 19.88 Mn |
| Apr 2, 2022 | 9.77 Mn |
| Jan 1, 2022 | 23.19 Mn |
| Oct 2, 2021 | 14.82 Mn |
Haemonetics Consolidated Net 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=consolidated-net-income&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();