Haemonetics (HAE) Prepaid Assets (2011 - 2026)
Haemonetics (HAE) recorded Prepaid Assets of $64.64 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 9.6% from $58.98 million a year earlier but down 2.4% from the prior quarter.
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Analysis
Haemonetics (HAE) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics reported Prepaid Assets of $66.21 million, up 9.6% from FY2025.
- Annual Prepaid Assets has a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- Across earlier fiscal years, Prepaid Assets came in at $60.41 million in FY2025 (-8.9%), $66.34 million in FY2024 (+41.9%), $46.74 million in FY2023 (+5.9%) and $44.13 million in FY2022 (-13.6%).
- Quarterly Prepaid Assets has ranged from $31.86 million in fiscal Q3 2022 to $113.46 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Prepaid Assets rose in five of the last eight quarters, with growth averaging 10.1%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 104.9% in fiscal Q3 2025, against a decline of 44.1% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $66.21 million (Q4 2026), $63.42 million (Q3 2026) and $59.98 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 64.64 Mn |
| Mar 28, 2026 | 66.21 Mn |
| Dec 27, 2025 | 63.42 Mn |
| Sep 27, 2025 | 59.98 Mn |
| Jun 28, 2025 | 58.98 Mn |
| Mar 29, 2025 | 60.41 Mn |
| Dec 28, 2024 | 113.46 Mn |
| Sep 28, 2024 | 60.98 Mn |
| Jun 29, 2024 | 58.88 Mn |
| Mar 30, 2024 | 66.34 Mn |
| Dec 30, 2023 | 55.37 Mn |
| Sep 30, 2023 | 54.66 Mn |
| Jul 1, 2023 | 49.56 Mn |
| Apr 1, 2023 | 46.74 Mn |
| Dec 31, 2022 | 45.45 Mn |
| Oct 1, 2022 | 48.38 Mn |
| Jul 2, 2022 | 48.49 Mn |
| Apr 2, 2022 | 44.13 Mn |
| Jan 1, 2022 | 31.86 Mn |
| Oct 2, 2021 | 42.86 Mn |
API Access
Haemonetics Prepaid Assets 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=prepaid-assets&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();