InflaRx (IFRX) EPS (Diluted) (2017 - 2026)
InflaRx's EPS (Diluted) came in at -$0.18 for Q2 2026, compared with -$0.28 a year earlier.
Analysis
InflaRx (IFRX) EPS (Diluted) (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, InflaRx reported EPS (Diluted) of -$789,434; for FY2025, it was -$766,218.
- Going back by year, EPS (Diluted) was -$835,442 in FY2024, -$835,595 in FY2023, $0.01 in FY2022 and -$1.25 million in FY2021.
- The five-year range for quarterly EPS (Diluted) is -$789,434 (Q4 2025) to $0.01 (Q2 2022).
- Business Quant data shows IFRX's EPS (Diluted) at -$0.10 (Q1 2026), -$789,434 (Q4 2025) and -$0.24 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.80 Bn | 1,100.39 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 614.01 Bn | 532.53 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 503.59 Bn | 476.70 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 297.81 Bn | 261.80 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 261.50 Bn | 235.19 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 236.24 Bn | 191.64 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 191.15 Bn | 165.35 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 170.16 Bn | 116.81 Bn | 10.94 Bn | -0.04 |
| 10 | InflaRx | 104.97 Mn | -228.65 Mn | 2.74 Mn | -0.18 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.18 |
| Mar 31, 2026 | -0.10 |
| Dec 31, 2025 | -0.18 |
| Sep 30, 2025 | -0.24 |
| Jun 30, 2025 | -0.28 |
| Mar 31, 2025 | -0.15 |
| Dec 31, 2024 | -0.09 |
| Sep 30, 2024 | -0.35 |
| Jun 30, 2024 | -0.27 |
| Mar 31, 2024 | -0.19 |
| Dec 31, 2023 | -0.31 |
| Sep 30, 2023 | -0.18 |
| Jun 30, 2023 | -0.20 |
| Mar 31, 2023 | -0.27 |
| Dec 31, 2022 | -0.19 |
| Sep 30, 2022 | -0.19 |
| Jun 30, 2022 | 0.01 |
| Mar 31, 2022 | -0.38 |
| Dec 31, 2021 | -0.35 |
| Sep 30, 2021 | -0.53 |
API Access
InflaRx EPS (Diluted) 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=eps-diluted&ticker=IFRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();