InflaRx (IFRX) Gross Margin (2023 - 2026)
InflaRx's Gross Margin was 5985.37% in Q2 2026, up 11970.74 percentage points from -5985.37% a year earlier.
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Analysis
InflaRx (IFRX) Gross Margin (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, InflaRx's Gross Margin was -3695.50% through Jun 30, 2026, down 1020.62 percentage points year-over-year; for FY2025, it came in at -24677.94%, down 22777.18 percentage points from FY2024.
- In earlier years, Gross Margin was -1900.76% in FY2024 (-1157.09 pp) and -743.67% in FY2023.
- The Q2 2026 figure marks the highest quarterly Gross Margin in data going back to Q3 2023.
- Compared with a year earlier, Gross Margin was higher in three of the last five quarters, with an average year-over-year change of +2453.28 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 85.78% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 68.19% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 74.74% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 73.54% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 78.02% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 83.60% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 72.04% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 79.76% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 72.78% |
| 10 | InflaRx | 104.63 Mn | -228.98 Mn | 2.74 Mn | 5,985.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5,985.37% |
| Sep 30, 2025 | 98.60% |
| Jun 30, 2025 | -5,985.37% |
| Mar 31, 2025 | -25.78% |
| Sep 30, 2024 | 158.60% |
| Jun 30, 2024 | -5,376.69% |
| Mar 31, 2024 | -511.93% |
| Dec 31, 2023 | -12,023.62% |
| Sep 30, 2023 | -319.58% |
API Access
InflaRx Gross 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=gross-margin&ticker=IFRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();