Vaxart (VXRT) Return on Sales [ROS] (2009 - 2026)
Vaxart (VXRT) posted Return on Sales [ROS] of -48.45% for Q2 2026, down 11.70 percentage points from -36.76% a year earlier and down 61.64 percentage points from the prior quarter.
Vaxart (VXRT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Vaxart was 16.30%, up 85.06 percentage points year-over-year; for FY2025, it came in at 7.62%, up 238.60 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +753.29 percentage points (FY2020 to FY2025).
- In prior years, Vaxart's Return on Sales [ROS] was -230.99% in FY2024 (+898.53 pp), -1129.52% in FY2023 (+105961.14 pp), -107090.65% in FY2022 (-98934.60 pp) and -8156.05% in FY2021 (-7410.38 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +341.72 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 141015.56 percentage points; the weakest was Q4 2022, with a drop of 108813.39 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 13.19% (Q1 2026), 53.17% (Q4 2025) and -10.79% (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 | Vaxart | 87.73 Mn | 22.23 Mn | - | -162.74% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -162.74% |
| Jun 30, 2026 | -48.45% |
| Mar 31, 2026 | 13.19% |
| Dec 31, 2025 | 53.17% |
| Sep 30, 2025 | -10.79% |
| Jun 30, 2025 | -36.76% |
| Mar 31, 2025 | -71.54% |
| Dec 31, 2024 | -75.68% |
| Sep 30, 2024 | -293.43% |
| Jun 30, 2024 | -253.96% |
| Mar 31, 2024 | -1,103.62% |
| Dec 31, 2023 | -520.80% |
| Sep 30, 2023 | -848.26% |
| Jun 30, 2023 | -1,697.57% |
| Mar 31, 2023 | -3,788.44% |
| Dec 31, 2022 | -141,536.36% |
| Sep 30, 2022 | -67,713.21% |
| Jun 30, 2022 | -26,598.61% |
| Mar 31, 2022 | -29,148.24% |
| Dec 31, 2021 | -32,722.97% |
Vaxart 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=VXRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VXRT", "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=VXRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();