Anaptysbio (ANAB) Change in Taxes (2016 - 2019)
Anaptysbio (ANAB) reported Change in Taxes of -$174,000 for FY2019, compared with -$1.43 million in FY2018.
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Analysis
Anaptysbio (ANAB) Change in Taxes (2016 - 2019) Analysis & Trends
Dating back to FY2015, Anaptysbio's Change in Taxes record includes 5 years.
- The FY2019 figure ranks as the highest annual Change in Taxes since FY2016.
- According to Business Quant data, Change in Taxes came in at -$1.43 million in FY2018, -$2.52 million in FY2017, $4.12 million in FY2016 and $139,000 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | - |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | -2.22 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -1.53 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | -131.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 171.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Anaptysbio | 1.41 Bn | 299.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -175,000.00 |
| Mar 31, 2019 | 1,000.00 |
| Dec 31, 2018 | 1,000.00 |
| Sep 30, 2018 | 21,000.00 |
| Jun 30, 2018 | -1.46 Mn |
| Mar 31, 2018 | 9,000.00 |
| Dec 31, 2017 | 115,000.00 |
| Sep 30, 2017 | -4.15 Mn |
| Jun 30, 2017 | 672,000.00 |
| Mar 31, 2017 | 847,000.00 |
| Dec 31, 2016 | 825,000.00 |
| Sep 30, 2016 | 695,000.00 |
| Jun 30, 2016 | 2.74 Mn |
| Mar 31, 2016 | -139,000.00 |
API Access
Anaptysbio Change in Taxes 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=change-in-taxes&ticker=ANAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "ANAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=ANAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();