Harvard Bioscience (HBIO) Amortization - Intangibles (2010 - 2026)
Harvard Bioscience's Amortization - Intangibles was $820,000 in Q2 2026, down 29.4% from $1.16 million a year earlier and unchanged from the prior quarter.
Harvard Bioscience (HBIO) Amortization - Intangibles (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Harvard Bioscience's Amortization - Intangibles was $3.35 million through Jun 30, 2026, down 31.9% year-over-year; for FY2025, it was $4.03 million, down 23.4% from FY2024.
- Amortization - Intangibles has now declined for three consecutive years, with a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $5.26 million in FY2024 (-4.9%), $5.53 million in FY2023 (-9.8%), $6.12 million in FY2022 (+4.8%) and $5.84 million in FY2021 (+2.3%).
- Quarterly Amortization - Intangibles has moved between $820,000 (Q1 2026) and $1.62 million (Q4 2022) over five years.
- Compared with a year earlier, Amortization - Intangibles has declined for 14 straight quarters, with an average decline of 20.5% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q4 2022 (growth of 12.6%); the worst was Q3 2025 (a decline of 35.9%).
- Per Business Quant data, HBIO's Amortization - Intangibles in the three quarters before Q2 2026 was $820,000 (Q1 2026), $850,000 (Q4 2025) and $855,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 820,000.00 |
| Mar 31, 2026 | 820,000.00 |
| Dec 31, 2025 | 850,000.00 |
| Sep 30, 2025 | 855,000.00 |
| Jun 30, 2025 | 1.16 Mn |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.39 Mn |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 1.39 Mn |
| Dec 31, 2022 | 1.62 Mn |
| Sep 30, 2022 | 1.60 Mn |
| Jun 30, 2022 | 1.50 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 1.44 Mn |
| Sep 30, 2021 | 1.50 Mn |
Harvard Bioscience Amortization - Intangibles 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=amortization-intangibles&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();