InflaRx (IFRX) Return on Sales [ROS] (2023 - 2026)
InflaRx's Return on Sales [ROS] was -17881.53% in Q2 2026, up 14878.63 percentage points from -32760.16% a year earlier.
InflaRx (IFRX) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, InflaRx's Return on Sales [ROS] was -71261272140.31% through Jun 30, 2026, down 71261225450.73 percentage points year-over-year; for FY2025, it was -164533837918.93%, down 132560146057.58 percentage points from FY2024.
- In earlier years, Return on Sales [ROS] was -31973691861.34% in FY2024 (-31973620679.21 pp) and -71182.13% in FY2023.
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last seven quarters, with an average year-over-year change of -11318086289.00 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,142.35 Bn | 1,110.94 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.52 Bn | 555.38 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 501.09 Bn | 474.20 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.35 Bn | 310.72 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 300.53 Bn | 264.52 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 263.02 Bn | 236.71 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 238.00 Bn | 193.40 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.35 Bn | 168.55 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 170.37 Bn | 117.02 Bn | 10.94 Bn | 28.37% |
| 10 | InflaRx | 102.95 Mn | -230.67 Mn | 2.74 Mn | -17,881.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17,881.53% |
| Dec 31, 2025 | -79,228,769,962.27% |
| Sep 30, 2025 | -39,769.22% |
| Jun 30, 2025 | -32,760.16% |
| Mar 31, 2025 | -36,088.30% |
| Dec 31, 2024 | -57,106.37% |
| Sep 30, 2024 | -12,405.24% |
| Jun 30, 2024 | -242,200.14% |
| Mar 31, 2024 | -34,655.19% |
| Dec 31, 2023 | -582,075.02% |
| Sep 30, 2023 | -18,339.32% |
InflaRx 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=IFRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IFRX", "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=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();