Biolife Solutions (BLFS) Net Margin (2010 - 2026)
Biolife Solutions' Net Margin was 158.45% in Q2 2026, up 226.02 percentage points from -67.57% a year earlier and up 154.14 percentage points from the prior quarter.
Biolife Solutions (BLFS) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Biolife Solutions' Net Margin was 56.39% through Jun 30, 2026, up 63.14 percentage points year-over-year; for FY2025, it came in at -4.78%, up 22.26 percentage points from FY2024.
- Net Margin has now increased for three consecutive years, though with a five-year change of -8.90 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -27.04% in FY2024 (+70.62 pp), -97.66% in FY2023 (+85.71 pp), -183.38% in FY2022 (-175.90 pp) and -7.48% in FY2021 (-11.60 pp).
- The Q2 2026 figure marks the highest quarterly Net Margin since Q4 2018.
- Compared with a year earlier, Net Margin was higher in six of the last seven quarters, with an average year-over-year change of +60.79 percentage points.
- The best year-over-year quarter for Net Margin over five years was Q2 2026 (a gain of 226.02 percentage points); the worst was Q2 2022 (a drop of 205.04 percentage points).
- Per Business Quant data, BLFS's Net Margin in the three quarters before Q2 2026 was 4.31% (Q1 2026), 58.93% (Q4 2025) and 2.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 16.67% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 13.89% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 7.57% |
| 10 | Biolife Solutions | 1.90 Bn | 1.57 Bn | 18.29 Mn | 158.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.45% |
| Mar 31, 2026 | 4.31% |
| Dec 31, 2025 | 58.93% |
| Sep 30, 2025 | 2.21% |
| Jun 30, 2025 | -67.57% |
| Mar 31, 2025 | -2.03% |
| Dec 31, 2024 | 82.47% |
| Sep 30, 2024 | -7.96% |
| Jun 30, 2024 | -105.09% |
| Mar 31, 2024 | -55.45% |
| Sep 30, 2023 | -123.58% |
| Jun 30, 2023 | -34.88% |
| Mar 31, 2023 | -36.37% |
| Sep 30, 2022 | -25.32% |
| Jun 30, 2022 | -179.80% |
| Mar 31, 2022 | -20.49% |
| Dec 31, 2021 | -42.21% |
| Sep 30, 2021 | 0.23% |
| Jun 30, 2021 | 25.24% |
| Mar 31, 2021 | -6.64% |
Biolife Solutions Net Margin 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=net-margin&ticker=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();