Harvard Bioscience (HBIO) Non Operating Interest Expenses (2010 - 2019)
Harvard Bioscience (HBIO) reported Non Operating Interest Expenses of $1.35 million for Q3 2019, down 7.5% from $1.46 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Harvard Bioscience (HBIO) Non Operating Interest Expenses (2010 - 2019) Analysis & Trends
Over the twelve months ended Sep 30, 2019, Harvard Bioscience's Non Operating Interest Expenses came in at $5.66 million, up 41.0% year-over-year; for FY2018, it came in at $5.37 million, up 652.7% from FY2017.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 41.2% (FY2013 to FY2018).
- By year, Non Operating Interest Expenses came in at $713,000 in FY2017 (+11.6%), $639,000 in FY2016 (-24.5%), $846,000 in FY2015 (-14.5%) and $990,000 in FY2014 (+3.7%).
- The Q3 2019 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q1 2018.
- Year over year, Non Operating Interest Expenses gained in six of the last eight quarters, with growth averaging 331.2%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2018 (growth of 746.4%); the low point was Q3 2016 (a decline of 30.9%).
- Per Business Quant data, the three quarters before Q3 2019 came in at $1.38 million (Q2 2019), $1.41 million (Q1 2019) and $1.53 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Harvard Bioscience | 38.24 Mn | 9.21 Mn | 12.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 1.35 Mn |
| Jun 30, 2019 | 1.38 Mn |
| Mar 31, 2019 | 1.41 Mn |
| Dec 31, 2018 | 1.53 Mn |
| Sep 30, 2018 | 1.46 Mn |
| Jun 30, 2018 | 1.48 Mn |
| Mar 31, 2018 | 894,000.00 |
| Dec 31, 2017 | 181,000.00 |
| Sep 30, 2017 | 189,000.00 |
| Jun 30, 2017 | 180,000.00 |
| Mar 31, 2017 | 163,000.00 |
| Dec 31, 2016 | 155,000.00 |
| Sep 30, 2016 | 141,000.00 |
| Jun 30, 2016 | 180,000.00 |
| Mar 31, 2016 | 164,000.00 |
| Dec 31, 2015 | 205,000.00 |
| Sep 30, 2015 | 204,000.00 |
| Jun 30, 2015 | 215,000.00 |
| Mar 31, 2015 | 222,000.00 |
| Dec 31, 2014 | 238,000.00 |
API Access
Harvard Bioscience 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=HBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "HBIO", "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=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();