Biolife Solutions (BLFS) Revenue (2010 - 2026)
Biolife Solutions' Revenue was $28.47 million in Q2 2026, up 21.5% from $23.44 million a year earlier and up 3.5% from the prior quarter.
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Analysis
Biolife Solutions (BLFS) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Biolife Solutions' Revenue was $102.82 million through Jun 30, 2026, up 25.4% year-over-year; for FY2025, it was $96.21 million, up 28.9% from FY2024.
- Revenue shows a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In earlier years, Revenue was $74.65 million in FY2024 (+9.7%), $68.02 million in FY2023 (-10.8%), $76.24 million in FY2022 (-36.0%) and $119.16 million in FY2021 (+147.8%).
- The Q2 2026 figure marks the highest quarterly Revenue since Q2 2023.
- Compared with a year earlier, Revenue has increased for six straight quarters, with growth averaging 18.7% over the last seven quarters.
- The best year-over-year quarter for Revenue over five years was Q3 2021 (growth of 199.7%); the worst was Q1 2024 (a decline of 51.1%).
- Per Business Quant data, BLFS's Revenue in the three quarters before Q2 2026 was $27.5 million (Q1 2026), $18.79 million (Q4 2025) and $28.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Biolife Solutions | 1.80 Bn | 1.47 Bn | 18.29 Mn | 28.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.47 Mn |
| Mar 31, 2026 | 27.50 Mn |
| Dec 31, 2025 | 18.79 Mn |
| Sep 30, 2025 | 28.07 Mn |
| Jun 30, 2025 | 23.44 Mn |
| Mar 31, 2025 | 22.05 Mn |
| Dec 31, 2024 | 15.11 Mn |
| Sep 30, 2024 | 21.39 Mn |
| Jun 30, 2024 | 19.72 Mn |
| Mar 31, 2024 | 18.43 Mn |
| Dec 31, 2023 | -13.98 Mn |
| Sep 30, 2023 | 23.57 Mn |
| Jun 30, 2023 | 29.24 Mn |
| Mar 31, 2023 | 37.70 Mn |
| Dec 31, 2022 | -41.26 Mn |
| Sep 30, 2022 | 40.75 Mn |
| Jun 30, 2022 | 40.53 Mn |
| Mar 31, 2022 | 36.22 Mn |
| Dec 31, 2021 | 37.31 Mn |
| Sep 30, 2021 | 33.80 Mn |
API Access
Biolife Solutions 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=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();