Biolife Solutions (BLFS) Cash & Equivalents (2010 - 2026)
Biolife Solutions (BLFS) recorded Cash & Equivalents of $24 million in Q2 2026, down 24.8% from $31.9 million a year earlier but up 5.1% from the prior quarter.
Biolife Solutions (BLFS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Biolife Solutions reported Cash & Equivalents of $33.04 million, down 63.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -18.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $91.54 million in FY2024 (+228.1%), $27.9 million in FY2023 (+43.5%), $19.44 million in FY2022 (-72.2%) and $69.86 million in FY2021 (-22.7%).
- Quarterly Cash & Equivalents has ranged from $19.11 million in Q1 2023 to $91.54 million in Q4 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 36.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 228.1% in Q4 2024, against a decline of 72.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.82 million (Q1 2026), $33.04 million (Q4 2025) and $29.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Biolife Solutions | 1.80 Bn | 1.47 Bn | 18.29 Mn | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 22.82 Mn |
| Dec 31, 2025 | 33.04 Mn |
| Sep 30, 2025 | 29.48 Mn |
| Jun 30, 2025 | 31.90 Mn |
| Mar 31, 2025 | 66.95 Mn |
| Dec 31, 2024 | 91.54 Mn |
| Sep 30, 2024 | 23.98 Mn |
| Jun 30, 2024 | 22.01 Mn |
| Mar 31, 2024 | 29.69 Mn |
| Dec 31, 2023 | 27.90 Mn |
| Sep 30, 2023 | 19.24 Mn |
| Jun 30, 2023 | 21.40 Mn |
| Mar 31, 2023 | 19.11 Mn |
| Dec 31, 2022 | 19.44 Mn |
| Sep 30, 2022 | 27.04 Mn |
| Jun 30, 2022 | 24.00 Mn |
| Mar 31, 2022 | 59.46 Mn |
| Dec 31, 2021 | 69.86 Mn |
| Sep 30, 2021 | 75.10 Mn |
Biolife Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();