Disc Medicine (IRON) Total Liabilities (2020 - 2026)
Disc Medicine (IRON) posted Total Liabilities of $90.91 million for Q2 2026, up 78.6% from $50.9 million a year earlier and up 47.1% from the prior quarter.
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Analysis
Disc Medicine (IRON) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Disc Medicine's Total Liabilities came in at $67.05 million, up 26.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In prior years, Disc Medicine's Total Liabilities was $53.19 million in FY2024 (+132.5%), $22.88 million in FY2023 (-3.1%), $23.61 million in FY2022 (-84.9%) and $156.61 million in FY2021 (+321.8%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2022.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 96.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 986.4%; the weakest was Q1 2023, with a decline of 94.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $61.78 million (Q1 2026), $67.05 million (Q4 2025) and $57.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Disc Medicine | 2.49 Bn | 2.49 Bn | - | 90.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.91 Mn |
| Mar 31, 2026 | 61.78 Mn |
| Dec 31, 2025 | 67.05 Mn |
| Sep 30, 2025 | 57.07 Mn |
| Jun 30, 2025 | 50.90 Mn |
| Mar 31, 2025 | 48.90 Mn |
| Dec 31, 2024 | 53.19 Mn |
| Sep 30, 2024 | 27.19 Mn |
| Jun 30, 2024 | 21.39 Mn |
| Mar 31, 2024 | 16.11 Mn |
| Dec 31, 2023 | 22.88 Mn |
| Sep 30, 2023 | 17.52 Mn |
| Jun 30, 2023 | 12.96 Mn |
| Mar 31, 2023 | 10.93 Mn |
| Dec 31, 2022 | 23.61 Mn |
| Sep 30, 2022 | 204.56 Mn |
| Jun 30, 2022 | 196.11 Mn |
| Mar 31, 2022 | 197.95 Mn |
| Dec 31, 2021 | 156.61 Mn |
| Sep 30, 2021 | 14.67 Mn |
API Access
Disc Medicine Total 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-liabilities&ticker=IRON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=IRON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();