Harvard Bioscience (HBIO) Depreciation and Depletion (2010 - 2026)
Harvard Bioscience (HBIO) posted Depreciation and Depletion of $467,000 for Q2 2026, up 13.6% from $411,000 a year earlier and up 5.4% from the prior quarter.
Harvard Bioscience (HBIO) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Harvard Bioscience was $1.79 million, up 1.9% year-over-year; for FY2025, it came in at $1.74 million, up 0.9% from FY2024.
- Annual Depreciation and Depletion has increased for three consecutive years, though with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, Harvard Bioscience's Depreciation and Depletion was $1.73 million in FY2024 (+15.1%), $1.5 million in FY2023 (+3.2%), $1.45 million in FY2022 (-18.4%) and $1.78 million in FY2021 (-7.3%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion since Q4 2021.
- On a year-over-year basis, Depreciation and Depletion increased in four of the last eight quarters, with growth averaging 3.9%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2024, with growth of 28.6%; the weakest was Q4 2022, with a decline of 29.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $443,000 (Q1 2026), $456,000 (Q4 2025) and $425,000 (Q3 2025).
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 | Harvard Bioscience | 38.47 Mn | 9.43 Mn | 12.63 Mn | 467,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 467,000.00 |
| Mar 31, 2026 | 443,000.00 |
| Dec 31, 2025 | 456,000.00 |
| Sep 30, 2025 | 425,000.00 |
| Jun 30, 2025 | 411,000.00 |
| Mar 31, 2025 | 451,000.00 |
| Dec 31, 2024 | 459,000.00 |
| Sep 30, 2024 | 437,000.00 |
| Jun 30, 2024 | 427,000.00 |
| Mar 31, 2024 | 404,000.00 |
| Dec 31, 2023 | 417,000.00 |
| Sep 30, 2023 | 418,000.00 |
| Jun 30, 2023 | 332,000.00 |
| Mar 31, 2023 | 333,000.00 |
| Dec 31, 2022 | 331,000.00 |
| Sep 30, 2022 | 364,000.00 |
| Jun 30, 2022 | 376,000.00 |
| Mar 31, 2022 | 382,000.00 |
| Dec 31, 2021 | 470,000.00 |
| Sep 30, 2021 | 420,000.00 |
Harvard Bioscience 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=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "HBIO", "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=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();