Haemonetics (HAE) Depreciation & Amortization (CF) (2009 - 2026)
Haemonetics (HAE) reported Depreciation & Amortization (CF) of $27.11 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 5.7% from $28.76 million a year earlier and down 0.8% from the prior quarter.
Haemonetics (HAE) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Haemonetics' Depreciation & Amortization (CF) came in at $110.07 million, down 4.5% year-over-year; for FY2026 (ended Mar 28, 2026), it was $111.72 million, down 3.3% from FY2025.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- By fiscal year, Depreciation & Amortization (CF) came in at $115.59 million in FY2025 (+18.9%), $97.22 million in FY2024 (+4.2%), $93.31 million in FY2023 (-4.5%) and $97.75 million in FY2022 (+16.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Depreciation & Amortization (CF) since fiscal Q3 2024.
- Year over year, Depreciation & Amortization (CF) has now declined in each of the last five quarters, with growth averaging 4.2% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q2 2025 (growth of 27.0%); the low point was fiscal Q1 2023 (a decline of 10.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $27.32 million (Q4 2026), $27.39 million (Q3 2026) and $28.26 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.05 Bn | 232.08 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 178.31 Bn | 148.74 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 164.12 Bn | 147.93 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 156.06 Bn | 135.48 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 122.78 Bn | 88.03 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 118.36 Bn | 104.48 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 67.35 Bn | 62.12 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Becton Dickinson | 54.66 Bn | 51.81 Bn | 2.32 Bn | 564.00 Mn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.64 Bn | 1.35 Bn | 42.70 Mn |
| 10 | Haemonetics | 5.37 Bn | 4.24 Bn | 202.80 Mn | 27.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 27.11 Mn |
| Mar 28, 2026 | 27.32 Mn |
| Dec 27, 2025 | 27.39 Mn |
| Sep 27, 2025 | 28.26 Mn |
| Jun 28, 2025 | 28.76 Mn |
| Mar 29, 2025 | 28.21 Mn |
| Dec 28, 2024 | 29.03 Mn |
| Sep 28, 2024 | 29.22 Mn |
| Jun 29, 2024 | 29.14 Mn |
| Mar 30, 2024 | 27.64 Mn |
| Dec 30, 2023 | 23.53 Mn |
| Sep 30, 2023 | 23.01 Mn |
| Jul 1, 2023 | 23.03 Mn |
| Apr 1, 2023 | 23.85 Mn |
| Dec 31, 2022 | 23.57 Mn |
| Oct 1, 2022 | 23.44 Mn |
| Jul 2, 2022 | 22.45 Mn |
| Apr 2, 2022 | 24.81 Mn |
| Jan 1, 2022 | 24.37 Mn |
| Oct 2, 2021 | 23.53 Mn |
Haemonetics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=HAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();