Haemonetics (HAE) Current Taxes (2010 - 2015)
Haemonetics' Current Taxes was $1.79 million in fiscal Q3 2016 (quarter ended Dec 26, 2015), down 35.0% from $2.75 million a year earlier and down 18.9% from the prior quarter.
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Analysis
Haemonetics (HAE) Current Taxes (2010 - 2015) Analysis & Trends
At the end of FY2015 (ended Mar 28, 2015), Current Taxes at Haemonetics came in at $3.82 million, up 22.7% from FY2014.
- Current Taxes shows a five-year compound annual growth rate of -5.6% (FY2010 to FY2015).
- In earlier fiscal years, Current Taxes was $3.11 million in FY2014 (-23.2%), $4.05 million in FY2013 (-49.8%), $8.08 million in FY2012 (+33.8%) and $6.03 million in FY2011 (+18.5%).
- The fiscal Q3 2016 figure marks the lowest quarterly Current Taxes in data going back to fiscal Q4 2010.
- Compared with a year earlier, Current Taxes was higher in two of the last eight quarters, with an average decline of 17.0%.
- The best year-over-year quarter for Current Taxes over five years was fiscal Q1 2012 (growth of 160.2%); the worst was fiscal Q1 2015 (a decline of 61.0%).
- Per Business Quant data, HAE's Current Taxes in the three fiscal quarters before Q3 2016 was $2.21 million (Q2 2016), $2.78 million (Q1 2016) and $3.82 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 411.00 Mn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 1.06 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 224.00 Mn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | - |
| 10 | Haemonetics | 5.35 Bn | 4.22 Bn | 202.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 26, 2015 | 1.79 Mn |
| Sep 26, 2015 | 2.21 Mn |
| Jun 27, 2015 | 2.78 Mn |
| Mar 28, 2015 | 3.82 Mn |
| Dec 27, 2014 | 2.75 Mn |
| Sep 27, 2014 | 3.35 Mn |
| Jun 28, 2014 | 2.08 Mn |
| Mar 29, 2014 | 3.11 Mn |
| Dec 28, 2013 | 3.25 Mn |
| Sep 28, 2013 | 4.40 Mn |
| Jun 29, 2013 | 5.32 Mn |
| Mar 30, 2013 | 4.05 Mn |
| Dec 29, 2012 | 6.63 Mn |
| Sep 29, 2012 | 7.43 Mn |
| Jun 30, 2012 | 8.08 Mn |
| Mar 31, 2012 | 8.08 Mn |
| Dec 31, 2011 | 7.55 Mn |
| Oct 1, 2011 | 5.36 Mn |
| Jul 2, 2011 | 6.08 Mn |
| Apr 2, 2011 | 6.03 Mn |
API Access
Haemonetics Current Taxes 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=current-taxes&ticker=HAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "ticker": "HAE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=current-taxes&ticker=HAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();