Harrow (HROW) Non-Current Deferred Tax Liability (2015 - 2017)
Harrow (HROW) reported Non-Current Deferred Tax Liability of $852,000 for Q3 2017, down 18.6% from $1.05 million a year earlier and down 3.2% from the prior quarter.
Powered by 
Analysis
Harrow (HROW) Non-Current Deferred Tax Liability (2015 - 2017) Analysis & Trends
At the end of FY2016, Harrow posted Non-Current Deferred Tax Liability of $936,000, down 10.6% from FY2015.
- By year, Non-Current Deferred Tax Liability came in at $1.05 million in FY2015.
- The Q3 2017 figure ranks as the lowest quarterly Non-Current Deferred Tax Liability in data going back to Q4 2015.
- Year over year, Non-Current Deferred Tax Liability has now declined in each of the last four quarters, with an average decline of 14.6% over the last four quarters.
- Per Business Quant data, the three quarters before Q3 2017 came in at $880,000 (Q2 2017), $908,000 (Q1 2017) and $936,000 (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 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 | Harrow | 1.03 Bn | 708.48 Mn | 50.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 852,000.00 |
| Jun 30, 2017 | 880,000.00 |
| Mar 31, 2017 | 908,000.00 |
| Dec 31, 2016 | 936,000.00 |
| Sep 30, 2016 | 1.05 Mn |
| Jun 30, 2016 | 1.05 Mn |
| Mar 31, 2016 | 1.05 Mn |
| Dec 31, 2015 | 1.05 Mn |
API Access
Harrow Non-Current Deferred Tax Liability 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-current-deferred-tax-liability&ticker=HROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "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=non-current-deferred-tax-liability&ticker=HROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();