Biolife Solutions (BLFS) Long-Term Investments (2016 - 2025)
Biolife Solutions (BLFS) recorded Long-Term Investments of $995,000 in Q1 2025, down 80.4% from $5.07 million a year earlier and unchanged from the prior quarter.
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Analysis
Biolife Solutions (BLFS) Long-Term Investments (2016 - 2025) Analysis & Trends
Starting with Q4 2016, Biolife Solutions' Long-Term Investments history includes 32 quarters.
- Annual Long-Term Investments has a five-year compound annual growth rate of -16.8% (FY2019 to FY2024).
- Across earlier years, Long-Term Investments came in at $5.07 million in FY2023 (unchanged), $5.07 million in FY2022 (+15.9%), $4.37 million in FY2021 (-25.5%) and $5.87 million in FY2020 (+134.9%).
- Quarterly Long-Term Investments has ranged from $995,000 in Q2 2024 to $5.87 million in Q2 2021 over the past five years.
- On a year-over-year basis, Long-Term Investments has declined for four consecutive quarters, with an average decline of 38.2% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 261.0% in Q3 2020, against a decline of 80.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $995,000 (Q4 2024), $995,000 (Q3 2024) and $995,000 (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.11 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 3.41 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.25 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 244.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Biolife Solutions | 1.90 Bn | 1.57 Bn | 18.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 995,000.00 |
| Dec 31, 2024 | 995,000.00 |
| Sep 30, 2024 | 995,000.00 |
| Jun 30, 2024 | 995,000.00 |
| Mar 31, 2024 | 5.07 Mn |
| Dec 31, 2023 | 5.07 Mn |
| Sep 30, 2023 | 5.07 Mn |
| Jun 30, 2023 | 5.07 Mn |
| Mar 31, 2023 | 5.07 Mn |
| Dec 31, 2022 | 5.07 Mn |
| Sep 30, 2022 | 5.07 Mn |
| Jun 30, 2022 | 4.37 Mn |
| Mar 31, 2022 | 4.37 Mn |
| Dec 31, 2021 | 4.37 Mn |
| Sep 30, 2021 | 4.37 Mn |
| Jun 30, 2021 | 5.87 Mn |
| Mar 31, 2021 | 5.87 Mn |
| Dec 31, 2020 | 5.87 Mn |
| Sep 30, 2020 | 3.61 Mn |
| Jun 30, 2020 | 2.50 Mn |
API Access
Biolife Solutions Long-Term Investments 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=long-term-investments&ticker=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();