Harvard Bioscience (HBIO) EV to EBITDA (2011 - 2026)
Harvard Bioscience's EV to EBITDA came in at 4.17 for Q2 2026, up 55.8% from the prior quarter.
Harvard Bioscience (HBIO) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Harvard Bioscience reported EV to EBITDA of -0.20; for FY2024, it came in at 93.96, up 267.8% from FY2023.
- Going back by year, EV to EBITDA was 25.55 in FY2023 (-85.4%), 174.55 in FY2022 (+499.1%), 29.14 in FY2021 (+42.3%) and 20.47 in FY2020 (+53.5%).
- The Q2 2026 figure represents the highest quarterly EV to EBITDA since Q4 2024.
- The fastest year-over-year change in EV to EBITDA over five years came in Q4 2022 (growth of 499.1%), and the weakest in Q4 2023 (a decline of 85.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Harvard Bioscience | 38.15 Mn | 9.12 Mn | 12.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.04 |
| Mar 31, 2026 | 2.07 |
| Dec 31, 2024 | 69.83 |
| Sep 30, 2024 | 72.28 |
| Jun 30, 2024 | 49.16 |
| Mar 31, 2024 | 34.38 |
| Dec 31, 2023 | 24.77 |
| Sep 30, 2023 | 20.68 |
| Jun 30, 2023 | 38.69 |
| Mar 31, 2023 | 18.73 |
| Dec 31, 2022 | 121.54 |
| Sep 30, 2022 | 33.40 |
| Jun 30, 2022 | 19.90 |
| Mar 31, 2022 | 73.02 |
| Dec 31, 2021 | 28.32 |
| Sep 30, 2021 | 25.27 |
| Jun 30, 2021 | 30.99 |
| Mar 31, 2021 | 18.87 |
| Dec 31, 2020 | 19.49 |
| Sep 30, 2020 | 16.02 |
Harvard Bioscience EV to EBITDA 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=ev-to-ebitda&ticker=HBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();