Haemonetics (HAE) Capital Expenditures (2009 - 2026)
Haemonetics' Capital Expenditures came in at $7.91 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 110.6% from $3.75 million a year earlier but down 55.2% from the prior quarter.
Haemonetics (HAE) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Haemonetics reported Capital Expenditures of $36.93 million, down 1.2% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $32.78 million, down 16.5% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of -2.4% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $39.28 million in FY2025 (+3.0%), $38.13 million in FY2024 (-80.1%), $191.33 million in FY2023 (+98.2%) and $96.51 million in FY2022 (+160.6%).
- The five-year range for quarterly Capital Expenditures is $3.75 million (fiscal Q1 2026) to $93.06 million (fiscal Q4 2023).
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 14.2%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q1 2023 (growth of 226.7%), and the weakest in fiscal Q4 2024 (a decline of 92.8%).
- Business Quant data shows HAE's Capital Expenditures at $17.66 million (Q4 2026), $6.35 million (Q3 2026) and $5.02 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Haemonetics | 4.75 Bn | 3.62 Bn | 202.80 Mn | 7.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.91 Mn |
| Mar 28, 2026 | 17.66 Mn |
| Dec 27, 2025 | 6.35 Mn |
| Sep 27, 2025 | 5.02 Mn |
| Jun 28, 2025 | 3.75 Mn |
| Mar 29, 2025 | 15.64 Mn |
| Dec 28, 2024 | 8.55 Mn |
| Sep 28, 2024 | 9.43 Mn |
| Jun 29, 2024 | 5.66 Mn |
| Mar 30, 2024 | 6.69 Mn |
| Dec 30, 2023 | 14.65 Mn |
| Sep 30, 2023 | 9.11 Mn |
| Jul 1, 2023 | 7.68 Mn |
| Apr 1, 2023 | 93.06 Mn |
| Dec 31, 2022 | 16.85 Mn |
| Oct 1, 2022 | 35.96 Mn |
| Jul 2, 2022 | 45.47 Mn |
| Apr 2, 2022 | 35.12 Mn |
| Jan 1, 2022 | 26.66 Mn |
| Oct 2, 2021 | 20.81 Mn |
Haemonetics Capital Expenditures 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=capital-expenditures&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();