Biolife Solutions (BLFS) Research & Development (2010 - 2026)
Biolife Solutions' Research & Development came in at $2.96 million for Q2 2026, up 50.5% from $1.97 million a year earlier and up 11.6% from the prior quarter.
Biolife Solutions (BLFS) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Biolife Solutions reported Research & Development of $8.25 million, up 103.7% year-over-year; for FY2025, it was $7.57 million, up 59.3% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Going back by year, Research & Development was $4.75 million in FY2024 (-13.9%), $5.52 million in FY2023 (-36.4%), $8.67 million in FY2022 (-26.6%) and $11.82 million in FY2021 (+75.9%).
- The Q2 2026 figure represents the highest quarterly Research & Development since Q3 2023.
- Year-over-year, Research & Development increased in three of the last six quarters, with growth averaging 15.8%.
- The fastest year-over-year change in Research & Development over five years came in Q4 2021 (growth of 92.5%), and the weakest in Q1 2024 (a decline of 50.0%).
- Business Quant data shows BLFS's Research & Development at $2.65 million (Q1 2026), -$67,000 (Q4 2025) and $2.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Biolife Solutions | 1.92 Bn | 1.59 Bn | 18.29 Mn | 2.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.96 Mn |
| Mar 31, 2026 | 2.65 Mn |
| Dec 31, 2025 | -67,000.00 |
| Sep 30, 2025 | 2.71 Mn |
| Jun 30, 2025 | 1.97 Mn |
| Mar 31, 2025 | 1.44 Mn |
| Dec 31, 2024 | -1.25 Mn |
| Sep 30, 2024 | 1.89 Mn |
| Jun 30, 2024 | 2.03 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | -5.26 Mn |
| Sep 30, 2023 | 3.74 Mn |
| Jun 30, 2023 | 3.79 Mn |
| Mar 31, 2023 | 4.15 Mn |
| Dec 31, 2022 | -1.96 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 3.43 Mn |
| Mar 31, 2022 | 3.78 Mn |
| Dec 31, 2021 | 3.57 Mn |
| Sep 30, 2021 | 3.22 Mn |
Biolife Solutions Research & Development 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=research-and-development&ticker=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();