InflaRx (IFRX) Depreciation and Depletion (2017 - 2026)
InflaRx (IFRX) posted Depreciation and Depletion of $107,031 for Q2 2026, down 17.8% from $130,175 a year earlier but up 4.9% from the prior quarter.
InflaRx (IFRX) Depreciation and Depletion (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at InflaRx was $488.3 billion, down 5.8% year-over-year; for FY2025, it came in at $473.94 billion, down 8.6% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 1310.2% (FY2020 to FY2025).
- In prior years, InflaRx's Depreciation and Depletion was $518.39 billion in FY2024 (-15.1%), $610.9 billion in FY2023 (+0.4%), $608.68 billion in FY2022 (-20.5%) and $765.81 billion in FY2021.
- Quarterly Depreciation and Depletion has run from a low of $102,068 in Q1 2026 to a high of $765.81 billion in Q4 2021 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last ten quarters, with an average decline of 12.7% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2023, with growth of 1.7%; the weakest was Q3 2022, with a decline of 23.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $102,068 (Q1 2026), $488.3 billion (Q4 2025) and $116,664 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,147.74 Bn | 1,116.33 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 636.22 Bn | 556.08 Bn | 17.30 Bn | - |
| 3 | AbbVie | 502.73 Bn | 475.84 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 357.93 Bn | 312.30 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 301.67 Bn | 265.66 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 264.02 Bn | 237.70 Bn | 12.86 Bn | - |
| 7 | Amgen | 239.31 Bn | 194.70 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.97 Bn | 169.17 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 171.63 Bn | 118.27 Bn | 10.94 Bn | - |
| 10 | InflaRx | 104.30 Mn | -229.32 Mn | 2.74 Mn | 107,031.44 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107,031.44 |
| Mar 31, 2026 | 102,067.95 |
| Dec 31, 2025 | 105,798.75 |
| Sep 30, 2025 | 116,663.51 |
| Jun 30, 2025 | 130,175.36 |
| Mar 31, 2025 | 119,705.50 |
| Dec 31, 2024 | 118,333.05 |
| Sep 30, 2024 | 122,391.07 |
| Jun 30, 2024 | 149,669.07 |
| Mar 31, 2024 | 134,653.45 |
| Dec 31, 2023 | 145,824.29 |
| Sep 30, 2023 | 151,226.99 |
| Jun 30, 2023 | 158,284.96 |
| Mar 31, 2023 | 158,821.32 |
| Dec 31, 2022 | 151,276.16 |
| Sep 30, 2022 | 148,673.07 |
| Jun 30, 2022 | 157,443.15 |
| Mar 31, 2022 | 172,077.94 |
| Dec 31, 2021 | 190,847.53 |
| Sep 30, 2021 | 194,610.71 |
InflaRx Depreciation and Depletion 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=depreciation-and-depletion&ticker=IFRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=IFRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();