InflaRx (IFRX) EPS (Basic) (2016 - 2026)
InflaRx's EPS (Basic) was -$0.18 in Q2 2026, compared with -$0.28 a year earlier.
Analysis
InflaRx (IFRX) EPS (Basic) (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, InflaRx's EPS (Basic) was -$789,434 through Jun 30, 2026; for FY2025, it came in at -$766,218.
- In earlier years, EPS (Basic) was -$835,442 in FY2024, -$835,595 in FY2023, $0.01 in FY2022 and -$1.25 million in FY2021.
- Quarterly EPS (Basic) has moved between -$789,434 (Q4 2025) and $0.01 (Q2 2022) over five years.
- Per Business Quant data, IFRX's EPS (Basic) in the three quarters before Q2 2026 was -$0.10 (Q1 2026), -$789,434 (Q4 2025) and -$0.24 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 2.30 |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 1.68 |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 1.62 |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 4.40 |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | -0.04 |
| 10 | InflaRx | 105.98 Mn | -227.64 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 (Basic) 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-basic&ticker=IFRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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-basic&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();