Bio-Techne (TECH) Prepaid Assets (2010 - 2018)
Bio-Techne (TECH) reported Prepaid Assets of $18.73 million for fiscal Q3 2018 (quarter ended Mar 31, 2018), up 81.4% from $10.32 million a year earlier and up 10.6% from the prior quarter.
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Analysis
Bio-Techne (TECH) Prepaid Assets (2010 - 2018) Analysis & Trends
At the end of FY2017 (ended Jun 30, 2017), Bio-Techne posted Prepaid Assets of $13.33 million, up 76.3% from FY2016.
- Prepaid Assets has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 54.7% (FY2012 to FY2017).
- By fiscal year, Prepaid Assets came in at $7.56 million in FY2016 (+43.0%), $5.29 million in FY2015 (+104.3%), $2.59 million in FY2014 (+69.5%) and $1.53 million in FY2013 (+1.6%).
- The fiscal Q3 2018 figure ranks as the highest quarterly Prepaid Assets in data going back to fiscal Q4 2010.
- Year over year, Prepaid Assets has now increased in each of the last 28 quarters, with growth averaging 54.7% over the last eight quarters.
- The year-over-year growth in Prepaid Assets has ranged between 1.6% (fiscal Q4 2013) and 158.5% (fiscal Q2 2015) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2018 came in at $16.92 million (Q2 2018), $10.58 million (Q1 2018) and $13.33 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Bio-Techne | 11.32 Bn | 10.53 Bn | 211.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 18.73 Mn |
| Dec 31, 2017 | 16.92 Mn |
| Sep 30, 2017 | 10.58 Mn |
| Jun 30, 2017 | 13.33 Mn |
| Mar 31, 2017 | 10.32 Mn |
| Dec 31, 2016 | 8.15 Mn |
| Sep 30, 2016 | 7.85 Mn |
| Jun 30, 2016 | 7.56 Mn |
| Mar 31, 2016 | 6.87 Mn |
| Dec 31, 2015 | 6.94 Mn |
| Sep 30, 2015 | 6.20 Mn |
| Jun 30, 2015 | 5.29 Mn |
| Mar 31, 2015 | 5.19 Mn |
| Dec 31, 2014 | 5.12 Mn |
| Sep 30, 2014 | 4.42 Mn |
| Jun 30, 2014 | 2.59 Mn |
| Mar 31, 2014 | 2.05 Mn |
| Dec 31, 2013 | 1.98 Mn |
| Sep 30, 2013 | 2.29 Mn |
| Jun 30, 2013 | 1.53 Mn |
API Access
Bio-Techne Prepaid Assets 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=prepaid-assets&ticker=TECH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "TECH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=TECH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();