InflaRx (IFRX) Total Liabilities (2016 - 2026)
InflaRx (IFRX) reported Total Liabilities of $24.09 million for Q2 2026, compared with -$64.57 trillion a year earlier and up 71.5% from the prior quarter.
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Analysis
InflaRx (IFRX) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, InflaRx posted Total Liabilities of $15.43 million, down 1.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $15.6 million in FY2024 (-17.7%), $18.97 million in FY2023 (+32.3%), $14.33 million in FY2022 (-36.9%) and $22.72 million in FY2021 (+84.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q3 2017.
- Year over year, Total Liabilities gained in four of the last six quarters, with growth averaging 11.2%.
- The high point for year-over-year Total Liabilities in five years was Q1 2022 (growth of 121.1%); the low point was Q1 2023 (a decline of 63.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.05 million (Q1 2026), $15.9 million (Q4 2025) and $23.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | InflaRx | 105.98 Mn | -227.64 Mn | 2.74 Mn | 23.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.67 Mn |
| Mar 31, 2026 | 13.75 Mn |
| Dec 31, 2025 | 16.05 Mn |
| Sep 30, 2025 | 23.22 Mn |
| Jun 30, 2025 | 19.23 Mn |
| Mar 31, 2025 | 17.90 Mn |
| Dec 31, 2024 | 15.20 Mn |
| Sep 30, 2024 | 16.09 Mn |
| Jun 30, 2024 | 11.65 Mn |
| Mar 31, 2024 | 13.32 Mn |
| Dec 31, 2023 | 19.51 Mn |
| Sep 30, 2023 | 12.14 Mn |
| Jun 30, 2023 | 9.04 Mn |
| Mar 31, 2023 | 8.43 Mn |
| Dec 31, 2022 | 14.98 Mn |
| Sep 30, 2022 | 11.48 Mn |
| Jun 30, 2022 | 13.06 Mn |
| Mar 31, 2022 | 22.28 Mn |
| Dec 31, 2021 | 22.49 Mn |
| Sep 30, 2021 | 16.41 Mn |
API Access
InflaRx Total 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-liabilities&ticker=IFRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();