Milestone Scientific (MLSS) Non Operating Income (2011 - 2016)
Milestone Scientific (MLSS) reported Non Operating Income of -$1,004 for Q2 2016, compared with -$1,130 a year earlier.
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Analysis
Milestone Scientific (MLSS) Non Operating Income (2011 - 2016) Analysis & Trends
Over the twelve months ended Jun 30, 2016, Milestone Scientific's Non Operating Income came in at -$1,859; for FY2015, it was -$1,509.
- By year, Non Operating Income came in at $2,389 in FY2014 (-99.4%), $378,226 in FY2013 and -$258,498 in FY2011.
- Five-year quarterly Non Operating Income spans a low of -$216,964 in Q2 2014 and a high of $1,210 in Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (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 | 82.70 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 46.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 6.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Milestone Scientific | 32.99 Mn | 28.03 Mn | 1.56 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | -1,004.00 |
| Mar 31, 2016 | -935.00 |
| Jun 30, 2015 | -1,130.00 |
| Mar 31, 2015 | 1,210.00 |
| Jun 30, 2014 | -216,964.00 |
| Mar 31, 2014 | -134,414.00 |
| Mar 31, 2012 | -122,030.00 |
| Mar 31, 2011 | -20,071.00 |
API Access
Milestone Scientific Non Operating Income 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=non-operating-income&ticker=MLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "ticker": "MLSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-income&ticker=MLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();