Disc Medicine (IRON) Depreciation and Depletion (2020 - 2022)
Disc Medicine (IRON) posted Depreciation and Depletion of $200,000 for FY2024, up 100.0% from $100,000 in FY2023.
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Analysis
Disc Medicine (IRON) Depreciation and Depletion (2020 - 2022) Analysis & Trends
Since FY2020, Disc Medicine has reported Depreciation and Depletion for 4 years.
- Annual Depreciation and Depletion shows a four-year compound annual growth rate of -11.2% (FY2020 to FY2024).
- The FY2024 figure stands as the highest annual Depreciation and Depletion since FY2021.
- Business Quant data shows IRON's Depreciation and Depletion at $100,000 in FY2023, $231,000 in FY2021 (-28.3%) and $322,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Disc Medicine | 3.27 Bn | 346.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -35,000.00 |
| Dec 31, 2021 | 46,000.00 |
| Sep 30, 2021 | 58,000.00 |
| Jun 30, 2021 | 62,000.00 |
| Mar 31, 2021 | 65,000.00 |
| Dec 31, 2020 | 87,000.00 |
| Sep 30, 2020 | 80,000.00 |
| Jun 30, 2020 | 78,000.00 |
| Mar 31, 2020 | 77,000.00 |
API Access
Disc Medicine 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=IRON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "IRON", "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=IRON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();