Biolife Solutions (BLFS) Short-Term Debt repayments (2021 - 2025)
Biolife Solutions' Short-Term Debt repayments came in at $2.88 million for Q4 2021, down 81.9% from the prior quarter.
Analysis
Biolife Solutions (BLFS) Short-Term Debt repayments (2021 - 2025) Analysis & Trends
For FY2021, Biolife Solutions' Short-Term Debt repayments was $31.54 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.57 Bn | 230.60 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.84 Bn | 148.27 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.29 Bn | 145.10 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.16 Bn | 135.58 Bn | 1.96 Bn | - |
| 5 | Medtronic | 122.40 Bn | 87.65 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.79 Bn | 103.91 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.02 Bn | 61.79 Bn | 3.85 Bn | 13.00 Mn |
| 8 | Becton Dickinson | 54.46 Bn | 51.61 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.36 Bn | 35.37 Bn | 1.35 Bn | - |
| 10 | Biolife Solutions | 1.89 Bn | 1.56 Bn | 18.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 67,000.00 |
| Jun 30, 2025 | 406,000.00 |
| Mar 31, 2025 | 502,000.00 |
| Dec 31, 2024 | 667,000.00 |
| Sep 30, 2024 | 483,000.00 |
| Jun 30, 2024 | 520,000.00 |
| Mar 31, 2024 | 727,000.00 |
| Dec 31, 2023 | 712,000.00 |
| Sep 30, 2023 | 1.76 Mn |
| Jun 30, 2023 | -677,000.00 |
| Mar 31, 2023 | 569,000.00 |
| Dec 31, 2022 | 561,000.00 |
| Sep 30, 2022 | 814,000.00 |
| Dec 31, 2021 | 3.91 Mn |
| Sep 30, 2021 | 15.92 Mn |
API Access
Biolife Solutions Short-Term Debt repayments 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=short-term-debt-repayments&ticker=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();