InflaRx (IFRX) Total Non-Current Liabilities (2016 - 2026)
InflaRx's Total Non-Current Liabilities was $694,361 in Q2 2026, down 100.0% from $272.52 billion a year earlier and down 2.6% from the prior quarter.
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Analysis
InflaRx (IFRX) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at InflaRx came in at $765,843, up 64.4% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $465,847 in FY2024 (-100.0%), $842.02 billion in FY2023, $1.04 million in FY2022 (-17.1%) and $1.26 million in FY2021 (+316.3%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last seven quarters, with an average decline of 10.2%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 657.9%); the worst was Q4 2024 (a decline of 100.0%).
- Per Business Quant data, IFRX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $712,532 (Q1 2026), $789,047 (Q4 2025) and $861,618 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | InflaRx | 104.63 Mn | -228.98 Mn | 2.74 Mn | 682,319.79 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 682,319.79 |
| Mar 31, 2026 | 697,471.88 |
| Dec 31, 2025 | 796,290.21 |
| Sep 30, 2025 | 864,632.01 |
| Jun 30, 2025 | 282,344.31 |
| Mar 31, 2025 | 359,701.47 |
| Dec 31, 2024 | 453,648.91 |
| Sep 30, 2024 | 598,484.28 |
| Jun 30, 2024 | 683,277.66 |
| Mar 31, 2024 | 824,627.55 |
| Dec 31, 2023 | 866,188.92 |
| Sep 30, 2023 | 854,175.90 |
| Jun 30, 2023 | 925,344.25 |
| Mar 31, 2023 | 1.02 Mn |
| Dec 31, 2022 | 1.09 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 1.26 Mn |
| Mar 31, 2022 | 1.13 Mn |
| Dec 31, 2021 | 1.25 Mn |
| Sep 30, 2021 | 1.38 Mn |
API Access
InflaRx Total Non-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-non-current-liabilities&ticker=IFRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();