Standard Biotools (LAB) Non Operating Interest Expenses (2010 - 2023)
Standard Biotools' Non Operating Interest Expenses came in at $1.1 million for Q4 2023, down 7.7% from $1.19 million a year earlier and down 10.2% from the prior quarter.
Powered by 
Analysis
Standard Biotools (LAB) Non Operating Interest Expenses (2010 - 2023) Analysis & Trends
For FY2023, Standard Biotools' Non Operating Interest Expenses was $4.57 million, up 5.4% from FY2022.
- Non Operating Interest Expenses has increased in each of the last three years, though with a five-year compound annual growth rate of -19.9% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $4.33 million in FY2022 (+13.3%), $3.82 million in FY2021 (+7.0%), $3.57 million in FY2020 (-16.5%) and $4.28 million in FY2019 (-69.2%).
- The Q4 2023 figure represents the lowest quarterly Non Operating Interest Expenses since Q3 2022.
- Year-over-year, Non Operating Interest Expenses increased in seven of the last eight quarters, with growth averaging 9.7%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2020 (growth of 99.3%), and the weakest in Q3 2019 (a decline of 89.0%).
- Business Quant data shows LAB's Non Operating Interest Expenses at $1.22 million (Q3 2023), $1.13 million (Q2 2023) and $1.12 million (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Standard Biotools | 290.17 Mn | -1.02 Bn | 10.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 1.22 Mn |
| Jun 30, 2023 | 1.13 Mn |
| Mar 31, 2023 | 1.12 Mn |
| Dec 31, 2022 | 1.19 Mn |
| Sep 30, 2022 | 1.05 Mn |
| Jun 30, 2022 | 1.06 Mn |
| Mar 31, 2022 | 1.03 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 968,000.00 |
| Jun 30, 2021 | 896,000.00 |
| Mar 31, 2021 | 887,000.00 |
| Dec 31, 2020 | 890,000.00 |
| Sep 30, 2020 | 885,000.00 |
| Jun 30, 2020 | 897,000.00 |
| Mar 31, 2020 | 900,000.00 |
| Dec 31, 2019 | 643,000.00 |
| Sep 30, 2019 | 444,000.00 |
| Jun 30, 2019 | 491,000.00 |
| Mar 31, 2019 | 2.70 Mn |
API Access
Standard Biotools 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=LAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "LAB", "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=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();