Savara (SVRA) Net Margin (2015 - 2026)
Savara (SVRA) posted Net Margin of -1374100.00% for Q4 2020, down 1369778.52 percentage points from the prior quarter.
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Analysis
Savara (SVRA) Net Margin (2015 - 2026) Analysis & Trends
For FY2020, Savara's Net Margin came in at -19305.45%.
- Annual Net Margin shows a five-year change of -2301.74 percentage points (FY2015 to FY2020).
- In prior years, Savara's Net Margin was -2754.25% in FY2016 (+14249.45 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,168.10 Bn | 1,136.68 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 643.43 Bn | 561.95 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 500.92 Bn | 474.03 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 360.47 Bn | 314.85 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 302.41 Bn | 266.40 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 267.36 Bn | 241.05 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 241.30 Bn | 196.70 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 192.97 Bn | 167.17 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 171.65 Bn | 118.30 Bn | 10.94 Bn | -1.65% |
| 10 | Savara | 1.15 Bn | 415.26 Mn | - | -4,852.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4,852.59% |
| Mar 31, 2026 | -3,527.34% |
| Dec 31, 2025 | -2,697.57% |
| Sep 30, 2025 | -5,394.34% |
| Jun 30, 2025 | -3,300.87% |
| Mar 31, 2025 | -1,778.30% |
| Dec 31, 2024 | -1,518.24% |
| Sep 30, 2024 | -1,138.94% |
| Dec 31, 2023 | -1,059.84% |
| Dec 31, 2022 | -1,677.52% |
| Dec 31, 2020 | -1,374,100.00% |
| Sep 30, 2020 | -4,321.48% |
| Sep 30, 2019 | -248,060.00% |
| Jun 30, 2019 | -70,770.97% |
| Dec 31, 2018 | -8,986.32% |
| Sep 30, 2018 | -11,315.32% |
| Mar 31, 2017 | -5,317.02% |
| Dec 31, 2016 | -1,508.75% |
| Sep 30, 2016 | -7,268.89% |
| Dec 31, 2015 | -18,818.52% |
API Access
Savara Net Margin 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=net-margin&ticker=SVRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();