InflaRx (IFRX) Total Current Liabilities (2016 - 2026)
InflaRx (IFRX) reported Total Current Liabilities of $23.39 million for Q2 2026, down 100.0% from $18.29 trillion a year earlier but up 75.4% from the prior quarter.
InflaRx (IFRX) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, InflaRx posted Total Current Liabilities of $14.67 million, down 3.1% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $15.14 million in FY2024 (-100.0%), $18.12 trillion in FY2023, $13.29 million in FY2022 (-38.1%) and $21.46 million in FY2021 (+78.2%).
- Five-year quarterly Total Current Liabilities spans a low of $7.3 million in Q1 2023 and a high of $18.29 trillion in Q2 2025.
- Year over year, Total Current Liabilities has now declined in each of the last three quarters, with an average decline of 15.6% over the last seven quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2022 (growth of 114.3%); the low point was Q4 2024 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.34 million (Q1 2026), $15.11 million (Q4 2025) and $22.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 32.65 Bn |
| 10 | InflaRx | 105.98 Mn | -227.64 Mn | 2.74 Mn | 22.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.99 Mn |
| Mar 31, 2026 | 13.05 Mn |
| Dec 31, 2025 | 15.25 Mn |
| Sep 30, 2025 | 22.35 Mn |
| Jun 30, 2025 | 18.95 Mn |
| Mar 31, 2025 | 17.54 Mn |
| Dec 31, 2024 | 14.74 Mn |
| Sep 30, 2024 | 15.49 Mn |
| Jun 30, 2024 | 10.97 Mn |
| Mar 31, 2024 | 12.49 Mn |
| Dec 31, 2023 | 18.64 Mn |
| Sep 30, 2023 | 11.29 Mn |
| Jun 30, 2023 | 8.12 Mn |
| Mar 31, 2023 | 7.41 Mn |
| Dec 31, 2022 | 13.89 Mn |
| Sep 30, 2022 | 10.38 Mn |
| Jun 30, 2022 | 11.80 Mn |
| Mar 31, 2022 | 21.15 Mn |
| Dec 31, 2021 | 21.24 Mn |
| Sep 30, 2021 | 15.03 Mn |
InflaRx Total Current Liabilities 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=total-current-liabilities&ticker=IFRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();