Haemonetics (HAE) Cash & Equivalents (2009 - 2026)
Haemonetics' Cash & Equivalents was $223.38 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 23.7% from $292.9 million a year earlier and down 9.0% from the prior quarter.
Haemonetics (HAE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Cash & Equivalents at Haemonetics came in at $245.44 million, down 20.0% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $306.76 million in FY2025 (+71.6%), $178.8 million in FY2024 (-37.1%), $284.47 million in FY2023 (+9.6%) and $259.5 million in FY2022 (+34.9%).
- The fiscal Q1 2027 figure marks the lowest quarterly Cash & Equivalents since fiscal Q4 2024.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 9.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2025 (growth of 71.6%); the worst was fiscal Q4 2024 (a decline of 37.1%).
- Per Business Quant data, HAE's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $245.44 million (Q4 2026), $363.37 million (Q3 2026) and $296.43 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Haemonetics | 5.57 Bn | 4.48 Bn | 220.91 Mn | 260.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 260.71 Mn |
| Jun 27, 2026 | 223.38 Mn |
| Mar 28, 2026 | 245.44 Mn |
| Dec 27, 2025 | 363.37 Mn |
| Sep 27, 2025 | 296.43 Mn |
| Jun 28, 2025 | 292.90 Mn |
| Mar 29, 2025 | 306.76 Mn |
| Dec 28, 2024 | 320.85 Mn |
| Sep 28, 2024 | 299.28 Mn |
| Jun 29, 2024 | 344.43 Mn |
| Mar 30, 2024 | 178.80 Mn |
| Dec 30, 2023 | 193.98 Mn |
| Sep 30, 2023 | 351.01 Mn |
| Jul 1, 2023 | 285.72 Mn |
| Apr 1, 2023 | 284.47 Mn |
| Dec 31, 2022 | 224.00 Mn |
| Oct 1, 2022 | 241.20 Mn |
| Jul 2, 2022 | 214.95 Mn |
| Apr 2, 2022 | 259.50 Mn |
| Jan 1, 2022 | 236.88 Mn |
Haemonetics Cash & Equivalents 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-and-equivalents&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();