Biolife Solutions (BLFS) Non-Current Assets (2010 - 2026)
Biolife Solutions (BLFS) posted Non-Current Assets of $312.3 million for Q2 2026, up 19.3% from $261.81 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Biolife Solutions (BLFS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Biolife Solutions' Non-Current Assets came in at $269.32 million, up 7.4% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In prior years, Biolife Solutions' Non-Current Assets was $250.73 million in FY2024 (-14.2%), $292.11 million in FY2023 (-6.3%), $311.78 million in FY2022 (-27.2%) and $428.2 million in FY2021 (+256.5%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets since Q2 2023.
- On a year-over-year basis, Non-Current Assets has increased in each of the last three quarters, with an average decline of 1.7% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2021, with growth of 529.8%; the weakest was Q4 2022, with a decline of 27.2%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $267.68 million (Q1 2026), $269.32 million (Q4 2025) and $265.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Biolife Solutions | 1.89 Bn | 1.56 Bn | 18.29 Mn | 312.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.30 Mn |
| Mar 31, 2026 | 267.68 Mn |
| Dec 31, 2025 | 269.32 Mn |
| Sep 30, 2025 | 265.52 Mn |
| Jun 30, 2025 | 261.81 Mn |
| Mar 31, 2025 | 264.01 Mn |
| Dec 31, 2024 | 250.73 Mn |
| Sep 30, 2024 | 292.27 Mn |
| Jun 30, 2024 | 286.78 Mn |
| Mar 31, 2024 | 289.90 Mn |
| Dec 31, 2023 | 292.11 Mn |
| Sep 30, 2023 | 294.33 Mn |
| Jun 30, 2023 | 312.87 Mn |
| Mar 31, 2023 | 313.68 Mn |
| Dec 31, 2022 | 311.78 Mn |
| Sep 30, 2022 | 351.81 Mn |
| Jun 30, 2022 | 352.32 Mn |
| Mar 31, 2022 | 425.31 Mn |
| Dec 31, 2021 | 428.20 Mn |
| Sep 30, 2021 | 428.89 Mn |
API Access
Biolife Solutions Non-Current Assets 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=non-current-assets&ticker=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();