Haemonetics (HAE) Free Cash Flow (2009 - 2026)
Haemonetics' Free Cash Flow was $44.42 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 225.6% from $13.64 million a year earlier but down 16.6% from the prior quarter.
Haemonetics (HAE) Free Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Haemonetics' Free Cash Flow was $291.22 million through Jun 27, 2026, up 53.9% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $260.44 million, up 82.8% from FY2025.
- Free Cash Flow shows a five-year compound annual growth rate of 29.4% (FY2021 to FY2026).
- In earlier fiscal years, Free Cash Flow was $142.45 million in FY2025 (-0.8%), $143.63 million in FY2024 (+75.7%), $81.73 million in FY2023 (+7.9%) and $75.75 million in FY2022 (+5.6%).
- Quarterly Free Cash Flow has moved between -$33.08 million (fiscal Q1 2025) and $106.31 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Free Cash Flow was higher in four of the last six quarters, with growth averaging 85.9%.
- The best year-over-year quarter for Free Cash Flow over five years was fiscal Q1 2027 (growth of 225.6%); the worst was fiscal Q2 2025 (a decline of 56.2%).
- Per Business Quant data, HAE's Free Cash Flow in the three fiscal quarters before Q1 2027 was $53.28 million (Q4 2026), $87.22 million (Q3 2026) and $106.31 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 1.68 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 1.99 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 1.27 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 948.40 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 1.06 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.28 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 585.00 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 633.00 Mn |
| 10 | Haemonetics | 4.76 Bn | 3.63 Bn | 202.80 Mn | 44.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 44.42 Mn |
| Mar 28, 2026 | 53.28 Mn |
| Dec 27, 2025 | 87.22 Mn |
| Sep 27, 2025 | 106.31 Mn |
| Jun 28, 2025 | 13.64 Mn |
| Mar 29, 2025 | 100.91 Mn |
| Dec 28, 2024 | 35.22 Mn |
| Sep 28, 2024 | 39.39 Mn |
| Jun 29, 2024 | -33.08 Mn |
| Mar 30, 2024 | 57.40 Mn |
| Dec 30, 2023 | -15.19 Mn |
| Sep 30, 2023 | 90.01 Mn |
| Jul 1, 2023 | 11.41 Mn |
| Apr 1, 2023 | -13.44 Mn |
| Dec 31, 2022 | 47.57 Mn |
| Oct 1, 2022 | 51.08 Mn |
| Jul 2, 2022 | -3.47 Mn |
| Apr 2, 2022 | 32.94 Mn |
| Jan 1, 2022 | 35.77 Mn |
| Oct 2, 2021 | 22.65 Mn |
Haemonetics Free Cash Flow 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=free-cash-flow&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();