Haemonetics (HAE) Cash from Operations (2009 - 2026)
Haemonetics (HAE) posted Cash from Operations of $52.32 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 200.8% from $17.4 million a year earlier but down 26.2% from the prior quarter.
Haemonetics (HAE) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Cash from Operations at Haemonetics was $328.15 million, up 44.9% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $293.22 million, up 61.4% from FY2025.
- Annual Cash from Operations shows a five-year compound annual growth rate of 21.9% (FY2021 to FY2026).
- In prior fiscal years, Haemonetics' Cash from Operations was $181.73 million in FY2025 (unchanged), $181.75 million in FY2024 (-33.4%), $273.06 million in FY2023 (+58.5%) and $172.26 million in FY2022 (+58.3%).
- Quarterly Cash from Operations has run from a low of -$27.42 million in fiscal Q1 2025 to a high of $116.56 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Cash from Operations increased in four of the last six quarters, with growth averaging 72.4%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was fiscal Q1 2027, with growth of 200.8%; the weakest was fiscal Q1 2024, with a decline of 54.5%.
- According to Business Quant data, Cash from Operations for the three prior fiscal quarters was $70.94 million (Q4 2026), $93.56 million (Q3 2026) and $111.32 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Haemonetics | 4.75 Bn | 3.62 Bn | 202.80 Mn | 52.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 52.32 Mn |
| Mar 28, 2026 | 70.94 Mn |
| Dec 27, 2025 | 93.56 Mn |
| Sep 27, 2025 | 111.32 Mn |
| Jun 28, 2025 | 17.40 Mn |
| Mar 29, 2025 | 116.56 Mn |
| Dec 28, 2024 | 43.77 Mn |
| Sep 28, 2024 | 48.82 Mn |
| Jun 29, 2024 | -27.42 Mn |
| Mar 30, 2024 | 64.08 Mn |
| Dec 30, 2023 | -540,000.00 |
| Sep 30, 2023 | 99.12 Mn |
| Jul 1, 2023 | 19.09 Mn |
| Apr 1, 2023 | 79.61 Mn |
| Dec 31, 2022 | 64.42 Mn |
| Oct 1, 2022 | 87.04 Mn |
| Jul 2, 2022 | 41.99 Mn |
| Apr 2, 2022 | 68.05 Mn |
| Jan 1, 2022 | 62.43 Mn |
| Oct 2, 2021 | 43.46 Mn |
Haemonetics Cash from Operations 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=cash-from-operations&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();