Disc Medicine (IRON) Cash & Equivalents (2020 - 2026)
Disc Medicine's Cash & Equivalents came in at $98.68 million for Q2 2026, down 22.5% from $127.34 million a year earlier but up 11.0% from the prior quarter.
Disc Medicine (IRON) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Disc Medicine's Cash & Equivalents was $91.15 million, down 52.6% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 82.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $192.43 million in FY2024 (-46.6%), $360.38 million in FY2023 (+85.2%), $194.61 million in FY2022 (+121.1%) and $88.04 million in FY2021.
- The five-year range for quarterly Cash & Equivalents is $88.04 million (Q4 2021) to $377.6 million (Q2 2023).
- Year-over-year, Cash & Equivalents has declined for nine consecutive quarters, with an average decline of 42.9% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2023 (growth of 264.2%), and the weakest in Q1 2025 (a decline of 64.2%).
- Business Quant data shows IRON's Cash & Equivalents at $88.91 million (Q1 2026), $91.15 million (Q4 2025) and $140.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Disc Medicine | 2.47 Bn | 2.47 Bn | - | 98.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.68 Mn |
| Mar 31, 2026 | 88.91 Mn |
| Dec 31, 2025 | 91.15 Mn |
| Sep 30, 2025 | 140.66 Mn |
| Jun 30, 2025 | 127.34 Mn |
| Mar 31, 2025 | 122.68 Mn |
| Dec 31, 2024 | 192.43 Mn |
| Sep 30, 2024 | 192.64 Mn |
| Jun 30, 2024 | 280.66 Mn |
| Mar 31, 2024 | 342.62 Mn |
| Dec 31, 2023 | 360.38 Mn |
| Sep 30, 2023 | 370.54 Mn |
| Jun 30, 2023 | 377.60 Mn |
| Mar 31, 2023 | 236.42 Mn |
| Dec 31, 2022 | 194.61 Mn |
| Sep 30, 2022 | 101.74 Mn |
| Jun 30, 2022 | 108.70 Mn |
| Mar 31, 2022 | 119.10 Mn |
| Dec 31, 2021 | 88.04 Mn |
| Sep 30, 2021 | 150.07 Mn |
Disc Medicine Cash & Equivalents 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=cash-and-equivalents&ticker=IRON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IRON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();