Biolife Solutions (BLFS) EV to EBITDA (2013 - 2026)
Biolife Solutions' (BLFS) EV to EBITDA came in at 345.36 for Q2 2026.
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Analysis
Biolife Solutions (BLFS) EV to EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Biolife Solutions was 279.15; for FY2024, it came in at 1180.72.
- In prior years, Biolife Solutions' EV to EBITDA was 147.74 in FY2022.
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q1 2025.
Peer Set
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 | Biolife Solutions | 1.89 Bn | 1.56 Bn | 18.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 345.36 |
| Mar 31, 2025 | 411.14 |
| Dec 31, 2024 | 1,180.72 |
| Sep 30, 2024 | 65.32 |
| Jun 30, 2024 | 291.80 |
| Sep 30, 2023 | 9.73 |
| Jun 30, 2023 | 14.54 |
| Dec 31, 2022 | 144.90 |
| Sep 30, 2020 | 284.22 |
| Jun 30, 2020 | 143.45 |
| Mar 31, 2020 | 80.88 |
| Dec 31, 2019 | 206.83 |
| Sep 30, 2019 | 126.10 |
| Jun 30, 2019 | 74.42 |
| Mar 31, 2019 | 68.14 |
| Dec 31, 2018 | 48.11 |
| Sep 30, 2018 | 105.21 |
| Jun 30, 2018 | 113.23 |
| Sep 30, 2013 | 775.13 |
| Jun 30, 2013 | 1,054.06 |
API Access
Biolife Solutions 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=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BLFS", "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=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();