Haemonetics (HAE) Change in Accured Expenses (2009 - 2026)
Haemonetics (HAE) posted Change in Accured Expenses of -$12.62 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), compared with -$47.9 million a year earlier.
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Analysis
Haemonetics (HAE) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Accured Expenses at Haemonetics was $18.71 million; for FY2026 (ended Mar 28, 2026), it came in at -$16.57 million.
- In prior fiscal years, Haemonetics' Change in Accured Expenses was -$19.21 million in FY2025, $44.58 million in FY2024 (+12.0%), $39.82 million in FY2023 (+421.0%) and $7.64 million in FY2022.
- Quarterly Change in Accured Expenses has run from a low of -$47.9 million in fiscal Q1 2026 to a high of $49.52 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 51.9%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q2 2023, with growth of 836.3%; the weakest was fiscal Q2 2025, with a decline of 88.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $20.32 million (Q4 2026), -$6.7 million (Q3 2026) and $17.7 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 247.46 Bn | 226.49 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.97 Bn | 148.40 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.52 Bn | 143.33 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 157.82 Bn | 138.11 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 122.28 Bn | 87.53 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.64 Bn | 103.76 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 66.58 Bn | 61.35 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Becton Dickinson | 54.22 Bn | 51.37 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.47 Bn | 35.47 Bn | 1.35 Bn | 123.70 Mn |
| 10 | Haemonetics | 5.25 Bn | 4.12 Bn | 202.80 Mn | -12.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -12.62 Mn |
| Mar 28, 2026 | 20.32 Mn |
| Dec 27, 2025 | -6.70 Mn |
| Sep 27, 2025 | 17.70 Mn |
| Jun 28, 2025 | -47.90 Mn |
| Mar 29, 2025 | 17.61 Mn |
| Dec 28, 2024 | 3.31 Mn |
| Sep 28, 2024 | 3.98 Mn |
| Jun 29, 2024 | -44.11 Mn |
| Mar 30, 2024 | 49.52 Mn |
| Dec 30, 2023 | -23.70 Mn |
| Sep 30, 2023 | 33.69 Mn |
| Jul 1, 2023 | -14.93 Mn |
| Apr 1, 2023 | 23.64 Mn |
| Dec 31, 2022 | 7.31 Mn |
| Oct 1, 2022 | 36.05 Mn |
| Jul 2, 2022 | -27.18 Mn |
| Apr 2, 2022 | 27.04 Mn |
| Jan 1, 2022 | 6.05 Mn |
| Oct 2, 2021 | 3.85 Mn |
API Access
Haemonetics Change in Accured 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=change-in-accured-expenses&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();