Harrow (HROW) Net Income Attributable to Noncontrolling Interests (2019 - 2020)
Harrow's Income from Non-Controlling Interests was -$8,000 in Q4 2020, compared with -$65,000 a year earlier.
Analysis
Harrow (HROW) Net Income Attributable to Noncontrolling Interests (2019 - 2020) Analysis & Trends
For FY2020, Income from Non-Controlling Interests at Harrow came in at -$62,000.
- In earlier years, Income from Non-Controlling Interests was -$293,000 in FY2019.
- The Q4 2020 figure marks the highest quarterly Income from Non-Controlling Interests since Q2 2019.
- Per Business Quant data, HROW's Income from Non-Controlling Interests in the three quarters before Q4 2020 was -$15,000 (Q3 2020), -$23,000 (Q2 2020) and -$16,000 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | - |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 2.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.00 Mn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -1.00 Mn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | - |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 10.00 Mn |
| 10 | Harrow | 1.03 Bn | 708.48 Mn | 50.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -8,000.00 |
| Sep 30, 2020 | -15,000.00 |
| Jun 30, 2020 | -23,000.00 |
| Mar 31, 2020 | -16,000.00 |
| Dec 31, 2019 | -65,000.00 |
| Sep 30, 2019 | -161,000.00 |
| Jun 30, 2019 | 42,000.00 |
| Mar 31, 2019 | 25,000.00 |
API Access
Harrow 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=HROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "HROW", "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=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();