InflaRx (IFRX) EBITDA Margin (2023 - 2026)
InflaRx's EBITDA Margin was -17648.01% in Q2 2026, up 14820.51 percentage points from -32468.52% a year earlier.
InflaRx (IFRX) EBITDA Margin (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, InflaRx's EBITDA Margin was -70641851187.30% through Jun 30, 2026, down 70879521327.37 percentage points year-over-year; for FY2025, it came in at -163103668473.63%, down 131422585892.76 percentage points from FY2024.
- In earlier years, EBITDA Margin was -31681082580.87% in FY2024 (-32580978112.43 pp) and 899895531.56% in FY2023.
- The Q2 2026 figure marks the highest quarterly EBITDA Margin since Q3 2024.
- Compared with a year earlier, EBITDA Margin was higher in three of the last five quarters, with an average year-over-year change of +39932.99 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,135.76 Bn | 1,104.34 Bn | 19.71 Bn | 53.49% |
| 2 | Johnson & Johnson | 619.07 Bn | 537.60 Bn | 17.26 Bn | 35.95% |
| 3 | AbbVie | 503.11 Bn | 476.22 Bn | 12.70 Bn | 49.01% |
| 4 | Merck | 370.23 Bn | 324.61 Bn | 12.21 Bn | 6.02% |
| 5 | Novartis Ag | 298.76 Bn | 262.75 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.14 Bn | 234.83 Bn | 12.86 Bn | 33.11% |
| 7 | Amgen | 237.54 Bn | 192.94 Bn | 7.24 Bn | 46.01% |
| 8 | Gilead Sciences | 191.65 Bn | 165.84 Bn | 6.22 Bn | -124.26% |
| 9 | Pfizer | 170.26 Bn | 116.90 Bn | 10.94 Bn | 39.16% |
| 10 | InflaRx | 103.96 Mn | -229.66 Mn | 2.74 Mn | -17,648.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17,648.01% |
| Sep 30, 2025 | -39,350.44% |
| Jun 30, 2025 | -32,468.52% |
| Mar 31, 2025 | -35,772.51% |
| Sep 30, 2024 | -12,315.23% |
| Jun 30, 2024 | -240,013.84% |
| Mar 31, 2024 | -34,311.24% |
| Dec 31, 2023 | -576,146.24% |
| Sep 30, 2023 | -18,110.84% |
InflaRx EBITDA 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=ebitda-margin&ticker=IFRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();