Haemonetics (HAE) Depreciation and Depletion (2018 - 2026)
Haemonetics (HAE) reported Depreciation and Depletion of $15.4 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), unchanged from $15.4 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Haemonetics (HAE) Depreciation and Depletion (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Haemonetics' Depreciation and Depletion came in at $61.1 million, up 0.5% year-over-year; for FY2026 (ended Mar 28, 2026), it was $61.2 million, up 2.0% from FY2025.
- Depreciation and Depletion has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $60 million in FY2025 (+7.5%), $55.8 million in FY2024 (+9.0%), $51.2 million in FY2023 (+15.3%) and $44.4 million in FY2022 (+3.0%).
- Five-year quarterly Depreciation and Depletion spans a low of $11.7 million in fiscal Q1 2023 and a high of $15.5 million in fiscal Q2 2026.
- Year over year, Depreciation and Depletion gained in six of the last eight quarters, with growth averaging 3.5%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q1 2024 (growth of 13.7%); the low point was fiscal Q3 2026 (a decline of 2.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $15.3 million (Q4 2026), $14.9 million (Q3 2026) and $15.5 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | - |
| 10 | Haemonetics | 5.28 Bn | 4.15 Bn | 202.80 Mn | 15.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 15.40 Mn |
| Mar 28, 2026 | 15.30 Mn |
| Dec 27, 2025 | 14.90 Mn |
| Sep 27, 2025 | 15.50 Mn |
| Jun 28, 2025 | 15.40 Mn |
| Mar 29, 2025 | 15.20 Mn |
| Dec 28, 2024 | 15.20 Mn |
| Sep 28, 2024 | 15.00 Mn |
| Jun 29, 2024 | 14.60 Mn |
| Mar 30, 2024 | 14.70 Mn |
| Dec 30, 2023 | 14.20 Mn |
| Sep 30, 2023 | 13.60 Mn |
| Jul 1, 2023 | 13.30 Mn |
| Apr 1, 2023 | 13.50 Mn |
| Dec 31, 2022 | 13.10 Mn |
| Oct 1, 2022 | 12.90 Mn |
| Jul 2, 2022 | 11.70 Mn |
| Sep 29, 2018 | 4.40 Mn |
| Jun 30, 2018 | 3.90 Mn |
API Access
Haemonetics Depreciation and Depletion 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-depletion&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();