Pro Dex (PDEX) Receivables - Other (2011 - 2017)
Pro Dex (PDEX) recorded Receivables - Other of $86,000 in FY2017 (year ended Jun 30, 2017), down 93.9% from $1.42 million in FY2016.
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Analysis
Pro Dex (PDEX) Receivables - Other (2011 - 2017) Analysis & Trends
Starting with FY2011, Pro Dex's Receivables - Other history includes 7 fiscal years.
- Annual Receivables - Other has a five-year compound annual growth rate of -6.9% (FY2012 to FY2017).
- The FY2017 figure is the lowest annual Receivables - Other since FY2011.
- Per Business Quant data, PDEX's Receivables - Other was $1.42 million in FY2016 (+66.4%), $853,000 in FY2015, $1.42 million in FY2014 and $244,000 in FY2013 (+98.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Pro Dex | 219.84 Mn | 186.63 Mn | 7.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 86,000.00 |
| Mar 31, 2017 | 9,000.00 |
| Dec 31, 2016 | 2.41 Mn |
| Sep 30, 2016 | 2.12 Mn |
| Jun 30, 2016 | 1.42 Mn |
| Mar 31, 2016 | 1.58 Mn |
| Dec 31, 2015 | 912,000.00 |
| Sep 30, 2015 | 1.44 Mn |
| Jun 30, 2015 | 28,000.00 |
| Mar 31, 2015 | 1.40 Mn |
| Dec 31, 2014 | 1.42 Mn |
| Sep 30, 2014 | 1.23 Mn |
| Jun 30, 2014 | 1.07 Mn |
| Mar 31, 2014 | 998,000.00 |
| Dec 31, 2013 | 611,000.00 |
| Sep 30, 2013 | 398,000.00 |
| Jun 30, 2013 | 244,000.00 |
| Mar 31, 2013 | 36,000.00 |
| Dec 31, 2012 | 90,000.00 |
| Sep 30, 2012 | 83,000.00 |
API Access
Pro Dex Receivables - Other 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=receivables-other&ticker=PDEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "ticker": "PDEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables-other&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();