Haemonetics (HAE) Intangibles (2010 - 2026)
Haemonetics' Intangibles came in at $434.51 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 3.6% from $450.63 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Haemonetics (HAE) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics' Intangibles was $447.66 million, down 1.8% from FY2025.
- Intangibles carries a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- Going back by fiscal year, Intangibles was $455.74 million in FY2025 (+12.2%), $406.12 million in FY2024 (+47.3%), $275.77 million in FY2023 (-11.1%) and $310.26 million in FY2022 (-15.1%).
- The five-year range for quarterly Intangibles is $250.5 million (fiscal Q2 2024) to $494.94 million (fiscal Q1 2025).
- Year-over-year, Intangibles has declined for five consecutive quarters, with growth averaging 9.9% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q3 2022 (growth of 170.6%), and the weakest in fiscal Q4 2022 (a decline of 15.1%).
- Business Quant data shows HAE's Intangibles at $447.66 million (Q4 2026), $419.73 million (Q3 2026) and $428.36 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Haemonetics | 5.31 Bn | 4.18 Bn | 202.80 Mn | 434.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 434.51 Mn |
| Mar 28, 2026 | 447.66 Mn |
| Dec 27, 2025 | 419.73 Mn |
| Sep 27, 2025 | 428.36 Mn |
| Jun 28, 2025 | 450.63 Mn |
| Mar 29, 2025 | 455.74 Mn |
| Dec 28, 2024 | 465.62 Mn |
| Sep 28, 2024 | 487.84 Mn |
| Jun 29, 2024 | 494.94 Mn |
| Mar 30, 2024 | 406.12 Mn |
| Dec 30, 2023 | 429.27 Mn |
| Sep 30, 2023 | 250.50 Mn |
| Jul 1, 2023 | 268.15 Mn |
| Apr 1, 2023 | 275.77 Mn |
| Dec 31, 2022 | 284.38 Mn |
| Oct 1, 2022 | 292.60 Mn |
| Jul 2, 2022 | 302.71 Mn |
| Apr 2, 2022 | 310.26 Mn |
| Jan 1, 2022 | 323.95 Mn |
| Oct 2, 2021 | 337.25 Mn |
API Access
Haemonetics Intangibles 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=intangibles&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();