Harvard Bioscience (HBIO) Accumulated Expenses (2010 - 2021)
Harvard Bioscience (HBIO) posted Accumulated Expenses of $7.47 million for Q3 2019, up 18.5% from $6.3 million a year earlier and up 75.1% from the prior quarter.
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Analysis
Harvard Bioscience (HBIO) Accumulated Expenses (2010 - 2021) Analysis & Trends
At the end of FY2018, Harvard Bioscience's Accumulated Expenses came in at $7.35 million, up 92.6% from FY2017.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 7.7% (FY2013 to FY2018).
- In prior years, Harvard Bioscience's Accumulated Expenses was $3.82 million in FY2017 (-16.1%), $4.55 million in FY2016 (+13.2%), $4.02 million in FY2015 (-9.7%) and $4.45 million in FY2014 (-12.3%).
- The Q3 2019 figure stands as the highest quarterly Accumulated Expenses since Q2 2018.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 30.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2018, with growth of 108.1%; the weakest was Q2 2019, with a decline of 45.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4.26 million (Q2 2019), $5.38 million (Q1 2019) and $7.35 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 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, 2021 | 369,000.00 |
| Dec 31, 2020 | 46,000.00 |
| Sep 30, 2020 | 376,000.00 |
| Jun 30, 2020 | 415,000.00 |
| Dec 31, 2019 | 425,000.00 |
| Sep 30, 2019 | 7.47 Mn |
| Jun 30, 2019 | 4.26 Mn |
| Mar 31, 2019 | 5.38 Mn |
| Dec 31, 2018 | 7.35 Mn |
| Sep 30, 2018 | 6.30 Mn |
| Jun 30, 2018 | 7.77 Mn |
| Mar 31, 2018 | 7.69 Mn |
| Dec 31, 2017 | 3.82 Mn |
| Sep 30, 2017 | 4.48 Mn |
| Jun 30, 2017 | 3.73 Mn |
| Mar 31, 2017 | 4.32 Mn |
| Dec 31, 2016 | 4.55 Mn |
| Sep 30, 2016 | 4.50 Mn |
| Jun 30, 2016 | 3.95 Mn |
| Mar 31, 2016 | 5.63 Mn |
API Access
Harvard Bioscience Accumulated 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=accumulated-expenses&ticker=HBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();