Biolife Solutions (BLFS) Non Operating Interest Expenses (2010 - 2020)
Biolife Solutions (BLFS) posted Non Operating Interest Expenses of $3,000 for Q3 2020, up 200.0% from $1,000 a year earlier.
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Analysis
Biolife Solutions (BLFS) Non Operating Interest Expenses (2010 - 2020) Analysis & Trends
For the trailing twelve months through Sep 30, 2020, Non Operating Interest Expenses at Biolife Solutions was $4,000, unchanged year-over-year; for FY2019, it came in at $5,000, unchanged from FY2018.
- Annual Non Operating Interest Expenses shows a three-year compound annual growth rate of -63.2% (FY2016 to FY2019).
- In prior years, Biolife Solutions' Non Operating Interest Expenses was $5,000 in FY2018 (-97.4%), $190,000 in FY2017 (+90.0%) and $100,000 in FY2016.
- The Q3 2020 figure stands as the highest quarterly Non Operating Interest Expenses since Q2 2017.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last four quarters, with growth averaging 49.8%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q3 2020, with growth of 200.0%; the weakest was Q2 2018, with a decline of 99.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.05 Bn | 232.08 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 178.31 Bn | 148.74 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 164.12 Bn | 147.93 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 156.06 Bn | 135.48 Bn | 1.96 Bn | - |
| 5 | Medtronic | 122.78 Bn | 88.03 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 118.36 Bn | 104.48 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 67.35 Bn | 62.12 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.66 Bn | 51.81 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.64 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, 2020 | 3,000.00 |
| Mar 31, 2020 | 1,000.00 |
| Sep 30, 2019 | 1,000.00 |
| Jun 30, 2019 | 1,000.00 |
| Mar 31, 2019 | 3,000.00 |
| Dec 31, 2018 | 1,000.00 |
| Sep 30, 2018 | 1,000.00 |
| Jun 30, 2018 | 1,000.00 |
| Mar 31, 2018 | 1,000.00 |
| Dec 31, 2017 | 1,008.00 |
| Sep 30, 2017 | 1,077.00 |
| Jun 30, 2017 | 104,582.00 |
| Mar 31, 2017 | 83,333.00 |
| Dec 31, 2016 | 58,333.00 |
| Sep 30, 2016 | 33,334.00 |
| Mar 31, 2014 | 177,308.00 |
| Jun 30, 2013 | 185,555.00 |
| Mar 31, 2013 | 185,555.00 |
| Dec 31, 2012 | 185,555.00 |
| Sep 30, 2012 | 185,554.00 |
API Access
Biolife Solutions Non Operating Interest Expenses 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-operating-interest-expenses&ticker=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();