Harvard Bioscience (HBIO) Inventory (2010 - 2026)
Harvard Bioscience (HBIO) recorded Inventory of $22.23 million in Q2 2026, down 0.1% from $22.26 million a year earlier but up 0.1% from the prior quarter.
Harvard Bioscience (HBIO) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Harvard Bioscience reported Inventory of $20.81 million, down 10.5% from FY2024.
- Annual Inventory has declined for four straight years, with a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $23.25 million in FY2024 (-6.0%), $24.72 million in FY2023 (-6.5%), $26.44 million in FY2022 (-4.2%) and $27.59 million in FY2021 (+23.9%).
- Quarterly Inventory has ranged from $20.81 million in Q4 2025 to $29.34 million in Q2 2022 over the past five years.
- On a year-over-year basis, Inventory has declined for seven consecutive quarters, with an average decline of 6.5% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 26.6% in Q1 2022, against a decline of 16.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.21 million (Q1 2026), $20.81 million (Q4 2025) and $21.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.72 Bn | 236.75 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.89 Bn | 142.32 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 162.78 Bn | 146.59 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 152.59 Bn | 132.01 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 119.68 Bn | 84.93 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 114.12 Bn | 100.23 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 65.64 Bn | 60.41 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 53.61 Bn | 50.76 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.94 Bn | 34.95 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Harvard Bioscience | 36.98 Mn | 7.95 Mn | 12.63 Mn | 22.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.23 Mn |
| Mar 31, 2026 | 22.21 Mn |
| Dec 31, 2025 | 20.81 Mn |
| Sep 30, 2025 | 21.60 Mn |
| Jun 30, 2025 | 22.26 Mn |
| Mar 31, 2025 | 22.82 Mn |
| Dec 31, 2024 | 23.25 Mn |
| Sep 30, 2024 | 25.99 Mn |
| Jun 30, 2024 | 25.13 Mn |
| Mar 31, 2024 | 24.14 Mn |
| Dec 31, 2023 | 24.72 Mn |
| Sep 30, 2023 | 25.82 Mn |
| Jun 30, 2023 | 26.09 Mn |
| Mar 31, 2023 | 26.86 Mn |
| Dec 31, 2022 | 26.44 Mn |
| Sep 30, 2022 | 26.12 Mn |
| Jun 30, 2022 | 29.34 Mn |
| Mar 31, 2022 | 28.71 Mn |
| Dec 31, 2021 | 27.59 Mn |
| Sep 30, 2021 | 25.98 Mn |
Harvard Bioscience Inventory 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=inventory&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();