InflaRx (IFRX) Change in Inventory (2023 - 2025)
InflaRx (IFRX) reported Change in Inventory of $8.03 trillion for Q4 2025, up 68.1% from $4.78 trillion a year earlier.
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Analysis
InflaRx (IFRX) Change in Inventory (2023 - 2025) Analysis & Trends
For FY2025, InflaRx posted Change in Inventory of $7.79 trillion, up 63.1% from FY2024.
- By year, Change in Inventory came in at $4.78 trillion in FY2024 and -$12.23 trillion in FY2023.
- The Q4 2025 figure ranks as the highest quarterly Change in Inventory in data going back to Q3 2023.
- Per Business Quant data, the three quarters before Q4 2025 came in at -$38,497 (Q3 2025), $2.1 million (Q2 2025) and $2,414 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 571.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 143.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 31.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | InflaRx | 104.63 Mn | -228.98 Mn | 2.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -10.16 Mn |
| Sep 30, 2025 | 4.31 Mn |
| Jun 30, 2025 | -2.11 Mn |
| Mar 31, 2025 | 2,414.07 |
| Dec 31, 2024 | -6.54 Mn |
| Sep 30, 2024 | 3.70 Mn |
| Jun 30, 2024 | -2.20 Mn |
| Mar 31, 2024 | 346,725.39 |
| Dec 31, 2023 | 14.00 Mn |
| Sep 30, 2023 | -2.41 Mn |
API Access
InflaRx Change in Inventory 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=change-in-inventory&ticker=IFRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();