Haemonetics (HAE) Other Non-Current Assets (2010 - 2026)
Haemonetics (HAE) posted Other Non-Current Assets of $149.96 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 23.6% from $196.29 million a year earlier but up 5.8% from the prior quarter.
Haemonetics (HAE) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics' Other Non-Current Assets came in at $141.74 million, down 13.6% from FY2025.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- In prior fiscal years, Haemonetics' Other Non-Current Assets was $164.11 million in FY2025 (+20.3%), $136.39 million in FY2024 (+27.5%), $106.98 million in FY2023 (+69.3%) and $63.21 million in FY2022 (-10.8%).
- Quarterly Other Non-Current Assets has run from a low of $63.21 million in fiscal Q4 2022 to a high of $216.09 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Other Non-Current Assets increased in six of the last eight quarters, with growth averaging 18.5%.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was fiscal Q4 2023, with growth of 69.3%; the weakest was fiscal Q1 2027, with a decline of 23.6%.
- According to Business Quant data, Other Non-Current Assets for the three prior fiscal quarters was $141.74 million (Q4 2026), $216.09 million (Q3 2026) and $207.97 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 616.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.55 Bn |
| 10 | Haemonetics | 4.79 Bn | 3.66 Bn | 202.80 Mn | 149.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 149.96 Mn |
| Mar 28, 2026 | 141.74 Mn |
| Dec 27, 2025 | 216.09 Mn |
| Sep 27, 2025 | 207.97 Mn |
| Jun 28, 2025 | 196.29 Mn |
| Mar 29, 2025 | 164.11 Mn |
| Dec 28, 2024 | 160.41 Mn |
| Sep 28, 2024 | 155.76 Mn |
| Jun 29, 2024 | 142.27 Mn |
| Mar 30, 2024 | 136.39 Mn |
| Dec 30, 2023 | 127.44 Mn |
| Sep 30, 2023 | 117.11 Mn |
| Jul 1, 2023 | 117.25 Mn |
| Apr 1, 2023 | 106.98 Mn |
| Dec 31, 2022 | 103.28 Mn |
| Oct 1, 2022 | 79.62 Mn |
| Jul 2, 2022 | 71.05 Mn |
| Apr 2, 2022 | 63.21 Mn |
| Jan 1, 2022 | 64.88 Mn |
| Oct 2, 2021 | 66.60 Mn |
Haemonetics Other Non-Current 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=other-non-current-assets&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-assets&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();