InflaRx (IFRX) Net Margin (2023 - 2026)
InflaRx (IFRX) reported Net Margin of -27004.68% for Q2 2026, up 9555.15 percentage points from -36559.83% a year earlier.
InflaRx (IFRX) Net Margin (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, InflaRx's Net Margin came in at -67384181969.24%, down 67384139115.33 percentage points year-over-year; for FY2025, it came in at -155582080392.76%, down 127797123610.34 percentage points from FY2024.
- By year, Net Margin came in at -27784956782.42% in FY2024 (+39845737950.42 pp) and -67630694732.84% in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Net Margin since Q1 2025.
- Year over year, Net Margin gained in three of the last five quarters, with an average year-over-year change of +31065.68 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.06 Bn | 1,139.65 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 634.89 Bn | 553.42 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 503.32 Bn | 476.44 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 377.44 Bn | 331.82 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 303.91 Bn | 267.90 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 267.03 Bn | 240.72 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 241.88 Bn | 197.28 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 194.01 Bn | 168.20 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 172.57 Bn | 119.21 Bn | 10.94 Bn | -1.65% |
| 10 | InflaRx | 104.97 Mn | -228.65 Mn | 2.74 Mn | -27,004.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27,004.68% |
| Sep 30, 2025 | -51,452.32% |
| Jun 30, 2025 | -36,559.83% |
| Mar 31, 2025 | -23,070.81% |
| Sep 30, 2024 | -14,092.87% |
| Jun 30, 2024 | -217,803.07% |
| Mar 31, 2024 | -26,798.11% |
| Dec 31, 2023 | -696,857.22% |
| Sep 30, 2023 | -12,255.00% |
InflaRx 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=IFRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();