Haemonetics (HAE) Amortization - Intangibles (2020 - 2026)
Haemonetics (HAE) recorded Amortization - Intangibles of $10.2 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 10.4% from $11.39 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Haemonetics (HAE) Amortization - Intangibles (2020 - 2026) Analysis & Trends
On a TTM basis, Haemonetics' Amortization - Intangibles came in at $42.81 million as of Jun 27, 2026, down 9.3% year-over-year; for FY2026 (ended Mar 28, 2026), it was $44 million, down 8.8% from FY2025.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of 6.0% (FY2021 to FY2026).
- Across earlier fiscal years, Amortization - Intangibles came in at $48.26 million in FY2025 (+50.7%), $32.03 million in FY2024 (-1.9%), $32.64 million in FY2023 (-31.2%) and $47.41 million in FY2022 (+44.4%).
- The fiscal Q1 2027 figure is the lowest quarterly Amortization - Intangibles since fiscal Q3 2024.
- On a year-over-year basis, Amortization - Intangibles has declined for five consecutive quarters, with growth averaging 13.7% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 77.0% in fiscal Q3 2025, against a decline of 33.5% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.49 million (Q4 2026), $10.93 million (Q3 2026) and $11.18 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 | 10.20 Mn |
| Mar 28, 2026 | 10.49 Mn |
| Dec 27, 2025 | 10.93 Mn |
| Sep 27, 2025 | 11.18 Mn |
| Jun 28, 2025 | 11.39 Mn |
| Mar 29, 2025 | 11.30 Mn |
| Dec 28, 2024 | 12.23 Mn |
| Sep 28, 2024 | 12.26 Mn |
| Jun 29, 2024 | 12.47 Mn |
| Mar 30, 2024 | 10.43 Mn |
| Dec 30, 2023 | 6.91 Mn |
| Sep 30, 2023 | 7.22 Mn |
| Jul 1, 2023 | 7.47 Mn |
| Apr 1, 2023 | 7.97 Mn |
| Dec 31, 2022 | 8.08 Mn |
| Oct 1, 2022 | 8.22 Mn |
| Jul 2, 2022 | 8.37 Mn |
| Apr 2, 2022 | 11.48 Mn |
| Jan 1, 2022 | 12.15 Mn |
| Oct 2, 2021 | 11.40 Mn |
API Access
Haemonetics Amortization - 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=amortization-intangibles&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();