Savara (SVRA) Depreciation & Amortization - Total (2016 - 2018)
Savara's Depreciation & Amortization - Total came in at $100,000 for FY2021, down 66.7% from $300,000 in FY2020.
Analysis
Savara (SVRA) Depreciation & Amortization - Total (2016 - 2018) Analysis & Trends
Going back to FY2015, Savara's Depreciation & Amortization - Total data covers 7 years.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of -22.0% (FY2016 to FY2021).
- The FY2021 figure represents the lowest annual Depreciation & Amortization - Total since FY2015.
- Per Business Quant, earlier years put Depreciation & Amortization - Total at $300,000 in FY2020 (unchanged), $300,000 in FY2019 (-43.0%), $526,000 in FY2018 (+44.9%) and $363,000 in FY2017 (+4.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | - |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | - |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Savara | 987.97 Mn | 987.97 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 139,000.00 |
| Sep 30, 2018 | 127,000.00 |
| Jun 30, 2018 | 153,000.00 |
| Mar 31, 2018 | 107,000.00 |
| Dec 31, 2017 | 91,000.00 |
| Sep 30, 2017 | 91,000.00 |
| Jun 30, 2017 | 91,000.00 |
| Mar 31, 2017 | 90,000.00 |
| Dec 31, 2016 | 90,000.00 |
| Sep 30, 2016 | 86,000.00 |
| Jun 30, 2016 | 85,000.00 |
API Access
Savara Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=SVRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "SVRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-total&ticker=SVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();