Harvard Bioscience (HBIO) Interest Expenses (2010 - 2019)
Harvard Bioscience's Interest Expenses was $1.35 million in 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) Interest Expenses (2010 - 2019) Analysis & Trends
On a trailing twelve-month basis, Harvard Bioscience's Interest Expenses was $5.66 million through Sep 30, 2019, up 41.0% year-over-year; for FY2018, it came in at $5.37 million, up 652.7% from FY2017.
- Interest Expenses shows a five-year compound annual growth rate of 41.2% (FY2013 to FY2018).
- In earlier years, Interest Expenses was $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 marks the lowest quarterly Interest Expenses since Q1 2018.
- Compared with a year earlier, Interest Expenses was higher in six of the last eight quarters, with growth averaging 331.2%.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2018 (growth of 746.4%); the worst was Q3 2016 (a decline of 30.9%).
- Per Business Quant data, HBIO's Interest Expenses in the three quarters before Q3 2019 was $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) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Harvard Bioscience | 38.15 Mn | 9.12 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 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=interest-expenses&ticker=HBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();