Harvard Bioscience (HBIO) Revenue (2010 - 2026)
Harvard Bioscience (HBIO) posted Revenue of $22.73 million for Q2 2026, up 11.1% from $20.45 million a year earlier and up 9.5% from the prior quarter.
Harvard Bioscience (HBIO) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Harvard Bioscience was $87.81 million, down 1.1% year-over-year; for FY2025, it came in at $86.55 million, down 8.1% from FY2024.
- Annual Revenue has declined for four consecutive years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In prior years, Harvard Bioscience's Revenue was $94.14 million in FY2024 (-16.1%), $112.25 million in FY2023 (-1.0%), $113.34 million in FY2022 (-4.7%) and $118.9 million in FY2021 (+16.5%).
- Quarterly Revenue has run from a low of $20.45 million in Q2 2025 to a high of $33.06 million in Q4 2021 over five years.
- On a year-over-year basis, Revenue increased in 1 of the last eight quarters, with an average decline of 6.5%.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2021, with growth of 23.4%; the weakest was Q2 2024, with a decline of 19.7%.
- According to Business Quant data, Revenue for the three prior quarters was $20.76 million (Q1 2026), $23.74 million (Q4 2025) and $20.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.76 Bn | 236.79 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.54 Bn | 141.97 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 162.87 Bn | 146.68 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 151.38 Bn | 130.80 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 119.65 Bn | 84.91 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 113.70 Bn | 99.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 65.12 Bn | 59.89 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 53.53 Bn | 50.68 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.78 Bn | 34.78 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Harvard Bioscience | 36.98 Mn | 7.95 Mn | 12.63 Mn | 22.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.73 Mn |
| Mar 31, 2026 | 20.76 Mn |
| Dec 31, 2025 | 23.74 Mn |
| Sep 30, 2025 | 20.59 Mn |
| Jun 30, 2025 | 20.45 Mn |
| Mar 31, 2025 | 21.77 Mn |
| Dec 31, 2024 | 24.56 Mn |
| Sep 30, 2024 | 21.97 Mn |
| Jun 30, 2024 | 23.10 Mn |
| Mar 31, 2024 | 24.51 Mn |
| Dec 31, 2023 | 28.15 Mn |
| Sep 30, 2023 | 25.36 Mn |
| Jun 30, 2023 | 28.76 Mn |
| Mar 31, 2023 | 29.98 Mn |
| Dec 31, 2022 | 28.43 Mn |
| Sep 30, 2022 | 26.92 Mn |
| Jun 30, 2022 | 29.21 Mn |
| Mar 31, 2022 | 28.78 Mn |
| Dec 31, 2021 | 33.06 Mn |
| Sep 30, 2021 | 29.66 Mn |
Harvard Bioscience Revenue 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=revenue&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();