Veracyte (VCYT) Amortization of Deferred Charges (2013 - 2019)
Veracyte's (VCYT) quarterly Amortization of Deferred Charges came in at $75000.0 in Q2 2019, up 837.5% year-over-year from $8000.0 in Q2 2018, and up 837.5% quarter-over-quarter from $8000.0 in Q1 2019.
Veracyte (VCYT) Amortization of Deferred Charges (2013 - 2019) Analysis & Trends
Veracyte has disclosed Amortization of Deferred Charges across 7 years of filings, most recently posting $75000.0 for Q2 2019.
- In Q2 2019, Amortization of Deferred Charges rose 837.5% year-over-year to $75000.0; the TTM figure through Mar 2020 stood at $75000.0 (up 134.38% YoY), while the FY2019 annual figure was $83000.0, up 159.38% from the prior year.
- Amortization of Deferred Charges came in at $75000.0 for Q2 2019 at Veracyte, up from $8000.0 in the prior quarter.
- In the past five years, Amortization of Deferred Charges ranged from a high of $393000.0 in Q4 2017 to a low of $8000.0 in Q1 2018.
- Average Amortization of Deferred Charges over 5 years is $44777.8, with a median of $19000.0 recorded in 2015.
- Year-over-year, Amortization of Deferred Charges surged 1355.56% in 2017 and plunged 97.96% in 2018.
- Over 5 years, Amortization of Deferred Charges stood at $12000.0 in 2015, then jumped by 125.0% to $27000.0 in 2016, then surged by 1355.56% to $393000.0 in 2017, then sank by 97.96% to $8000.0 in 2018, then jumped by 837.5% to $75000.0 in 2019.
- Per Business Quant data, the three most recent Amortization of Deferred Charges figures were $75000.0 in Q2 2019, $8000.0 in Q1 2019, and $8000.0 in Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn |
| 10 | Veracyte | 3.20 Bn | 2.90 Bn | 108.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 75,000.00 |
| Mar 31, 2019 | 8,000.00 |
| Dec 31, 2018 | 8,000.00 |
| Sep 30, 2018 | 8,000.00 |
| Jun 30, 2018 | 8,000.00 |
| Mar 31, 2018 | 8,000.00 |
| Dec 31, 2017 | 393,000.00 |
| Sep 30, 2017 | 26,000.00 |
| Jun 30, 2017 | 27,000.00 |
| Mar 31, 2017 | 26,000.00 |
| Dec 31, 2016 | 27,000.00 |
| Sep 30, 2016 | 27,000.00 |
| Jun 30, 2016 | 27,000.00 |
| Mar 31, 2016 | 92,000.00 |
| Dec 31, 2015 | 12,000.00 |
| Sep 30, 2015 | 11,000.00 |
| Jun 30, 2015 | 12,000.00 |
| Mar 31, 2015 | 11,000.00 |
| Dec 31, 2014 | 16,000.00 |
| Sep 30, 2014 | 27,000.00 |
Veracyte Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "ticker": "VCYT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-of-deferred-charges&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();