Haemonetics (HAE) Other Accumulated Expenses (2010 - 2026)
Haemonetics (HAE) reported Other Accumulated Expenses of $163.8 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 12.5% from $145.64 million a year earlier and up 3.4% from the prior quarter.
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Analysis
Haemonetics (HAE) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics posted Other Accumulated Expenses of $158.34 million, up 6.9% from FY2025.
- Other Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $148.13 million in FY2025 (+8.9%), $136.09 million in FY2024 (+21.9%), $111.63 million in FY2023 (-7.9%) and $121.21 million in FY2022 (-12.5%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2010.
- Year over year, Other Accumulated Expenses gained in six of the last eight quarters, with growth averaging 5.7%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q1 2024 (growth of 31.6%); the low point was fiscal Q1 2023 (a decline of 33.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $158.34 million (Q4 2026), $134.33 million (Q3 2026) and $134.02 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.76 Bn | 228.79 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.60 Bn | 149.03 Bn | 7.27 Bn |
| 3 | Danaher | 160.67 Bn | 144.48 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.63 Bn | 136.92 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.82 Bn | 103.93 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.29 Bn | 62.06 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.58 Bn | 51.73 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.84 Bn | 35.85 Bn | 1.35 Bn |
| 10 | Haemonetics | 5.27 Bn | 4.14 Bn | 202.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 163.80 Mn |
| Mar 28, 2026 | 158.34 Mn |
| Dec 27, 2025 | 134.33 Mn |
| Sep 27, 2025 | 134.02 Mn |
| Jun 28, 2025 | 145.64 Mn |
| Mar 29, 2025 | 148.13 Mn |
| Dec 28, 2024 | 139.24 Mn |
| Sep 28, 2024 | 149.97 Mn |
| Jun 29, 2024 | 137.27 Mn |
| Mar 30, 2024 | 136.09 Mn |
| Dec 30, 2023 | 132.41 Mn |
| Sep 30, 2023 | 124.85 Mn |
| Jul 1, 2023 | 112.26 Mn |
| Apr 1, 2023 | 111.63 Mn |
| Dec 31, 2022 | 100.99 Mn |
| Oct 1, 2022 | 97.90 Mn |
| Jul 2, 2022 | 85.31 Mn |
| Apr 2, 2022 | 121.21 Mn |
| Jan 1, 2022 | 121.13 Mn |
| Oct 2, 2021 | 119.70 Mn |
API Access
Haemonetics Other Accumulated Expenses 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-accumulated-expenses&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();