Illumina (ILMN) Net Income Attributable to Noncontrolling Interests (2015 - 2019)
Illumina (ILMN) posted Net Income Attributable to Noncontrolling Interests of -$12 million for FY2019, compared with -$44 million in FY2018.
Analysis
Illumina (ILMN) Net Income Attributable to Noncontrolling Interests (2015 - 2019) Analysis & Trends
Since FY2016, Illumina has reported Net Income Attributable to Noncontrolling Interests for 4 years.
- Business Quant data shows ILMN's Net Income Attributable to Noncontrolling Interests at -$44 million in FY2018, -$48 million in FY2017 and -$35 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 6.00 Mn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 1.60 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 9.00 Mn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | -2.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | -6.10 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | - |
| 10 | Illumina | 32.22 Bn | 26.92 Bn | 830.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -3.00 Mn |
| Mar 31, 2019 | -9.00 Mn |
| Dec 30, 2018 | -13.00 Mn |
| Sep 30, 2018 | -11.00 Mn |
| Jul 1, 2018 | -9.00 Mn |
| Apr 1, 2018 | -11.00 Mn |
| Dec 31, 2017 | -11.00 Mn |
| Oct 1, 2017 | -11.00 Mn |
| Jul 2, 2017 | -8.00 Mn |
| Apr 2, 2017 | -19.00 Mn |
| Oct 2, 2016 | -12.00 Mn |
| Jul 3, 2016 | -4.00 Mn |
| Apr 3, 2016 | -2.00 Mn |
| Jan 3, 2016 | -1.61 Mn |
| Sep 27, 2015 | -2.56 Mn |
API Access
Illumina Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=ILMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "ILMN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-from-non-controlling-interests&ticker=ILMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();