Harvard Bioscience (HBIO) Non-Current Assets (2010 - 2026)
Harvard Bioscience (HBIO) recorded Non-Current Assets of $29.82 million in Q2 2026, down 15.1% from $35.12 million a year earlier and down 2.1% from the prior quarter.
Harvard Bioscience (HBIO) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Harvard Bioscience reported Non-Current Assets of $31.85 million, down 60.9% from FY2024.
- Annual Non-Current Assets has declined for six straight years, with a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $81.53 million in FY2024 (-7.7%), $88.33 million in FY2023 (-6.3%), $94.24 million in FY2022 (-6.5%) and $100.76 million in FY2021 (-3.6%).
- The Q2 2026 figure is the lowest quarterly Non-Current Assets in data going back to Q4 2010.
- On a year-over-year basis, Non-Current Assets has declined for 26 consecutive quarters, with an average decline of 34.7% over the last eight quarters.
- The year-over-year decline in Non-Current Assets has ranged between 1.6% (Q2 2022) and 60.9% (Q4 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $30.46 million (Q1 2026), $31.85 million (Q4 2025) and $34.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Harvard Bioscience | 38.15 Mn | 9.12 Mn | 12.63 Mn | 29.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.82 Mn |
| Mar 31, 2026 | 30.46 Mn |
| Dec 31, 2025 | 31.85 Mn |
| Sep 30, 2025 | 34.19 Mn |
| Jun 30, 2025 | 35.12 Mn |
| Mar 31, 2025 | 34.90 Mn |
| Dec 31, 2024 | 81.53 Mn |
| Sep 30, 2024 | 84.45 Mn |
| Jun 30, 2024 | 82.48 Mn |
| Mar 31, 2024 | 85.01 Mn |
| Dec 31, 2023 | 88.33 Mn |
| Sep 30, 2023 | 89.25 Mn |
| Jun 30, 2023 | 90.28 Mn |
| Mar 31, 2023 | 93.13 Mn |
| Dec 31, 2022 | 94.24 Mn |
| Sep 30, 2022 | 95.20 Mn |
| Jun 30, 2022 | 98.78 Mn |
| Mar 31, 2022 | 98.60 Mn |
| Dec 31, 2021 | 100.76 Mn |
| Sep 30, 2021 | 98.19 Mn |
Harvard Bioscience Non-Current Assets 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=non-current-assets&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();