Savara (SVRA) Return on Sales [ROS] (2009 - 2026)
Savara (SVRA) posted Return on Sales [ROS] of -4941.50% for Q2 2026, down 1527.81 percentage points from -3413.68% a year earlier and down 1252.75 percentage points from the prior quarter.
Savara (SVRA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Savara was -3957.81%, down 2140.66 percentage points year-over-year; for FY2025, it was -2968.45%, down 1372.72 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +16214.43 percentage points (FY2020 to FY2025).
- In prior years, Savara's Return on Sales [ROS] was -1595.73% in FY2024 (-243.00 pp) and -1352.73% in FY2023.
- Quarterly Return on Sales [ROS] has run from a low of -8672.96% in Q3 2023 to a high of -1160.63% in Q4 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last four quarters, with an average year-over-year change of +359.15 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 7434.97 percentage points; the weakest was Q3 2025, with a drop of 4282.99 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -3688.74% (Q1 2026), -2796.57% (Q4 2025) and -5520.99% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Savara | 1.09 Bn | 407.27 Mn | - | -8,622.18% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8,622.18% |
| Jun 30, 2026 | -4,941.50% |
| Mar 31, 2026 | -3,688.74% |
| Dec 31, 2025 | -2,796.57% |
| Sep 30, 2025 | -5,520.99% |
| Jun 30, 2025 | -3,413.68% |
| Mar 31, 2025 | -1,898.20% |
| Dec 31, 2024 | -1,629.59% |
| Sep 30, 2024 | -1,238.00% |
| Jun 30, 2024 | -5,354.77% |
| Mar 31, 2024 | -4,632.65% |
| Dec 31, 2023 | -1,160.63% |
| Sep 30, 2023 | -8,672.96% |
| Jun 30, 2023 | -7,450.00% |
| Mar 31, 2023 | -6,987.79% |
| Dec 31, 2022 | -1,771.17% |
| Dec 31, 2020 | -1,301,200.00% |
| Sep 30, 2020 | -4,212.89% |
| Sep 30, 2019 | -248,840.00% |
| Jun 30, 2019 | -71,464.52% |
Savara Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SVRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SVRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();