Haemonetics (HAE) Inventory (2010 - 2026)
Haemonetics (HAE) reported Inventory of $306.74 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 14.9% from $360.53 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Haemonetics (HAE) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Haemonetics posted Inventory of $306.37 million, down 16.1% from FY2025.
- Inventory has a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $365.14 million in FY2025 (+15.1%), $317.2 million in FY2024 (+22.3%), $259.38 million in FY2023 (-11.5%) and $293.03 million in FY2022 (-9.2%).
- Five-year quarterly Inventory spans a low of $254.68 million in fiscal Q2 2023 and a high of $382.11 million in fiscal Q2 2025.
- Year over year, Inventory has now declined in each of the last five quarters, with growth averaging 1.2% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q2 2025 (growth of 33.7%); the low point was fiscal Q2 2023 (a decline of 21.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $306.37 million (Q4 2026), $321.19 million (Q3 2026) and $336.21 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Haemonetics | 4.81 Bn | 3.69 Bn | 202.80 Mn | 306.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 306.74 Mn |
| Mar 28, 2026 | 306.37 Mn |
| Dec 27, 2025 | 321.19 Mn |
| Sep 27, 2025 | 336.21 Mn |
| Jun 28, 2025 | 360.53 Mn |
| Mar 29, 2025 | 365.14 Mn |
| Dec 28, 2024 | 359.61 Mn |
| Sep 28, 2024 | 382.11 Mn |
| Jun 29, 2024 | 373.79 Mn |
| Mar 30, 2024 | 317.20 Mn |
| Dec 30, 2023 | 304.02 Mn |
| Sep 30, 2023 | 285.83 Mn |
| Jul 1, 2023 | 289.21 Mn |
| Apr 1, 2023 | 259.38 Mn |
| Dec 31, 2022 | 255.76 Mn |
| Oct 1, 2022 | 254.68 Mn |
| Jul 2, 2022 | 277.89 Mn |
| Apr 2, 2022 | 293.03 Mn |
| Jan 1, 2022 | 305.74 Mn |
| Oct 2, 2021 | 322.66 Mn |
API Access
Haemonetics Inventory 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=inventory&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();