Immunome (IMNM) Total Current Liabilities (2019 - 2026)
Immunome's Total Current Liabilities was $35.71 million in Q2 2026, up 56.1% from $22.88 million a year earlier and up 30.3% from the prior quarter.
Immunome (IMNM) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Immunome came in at $44.99 million, down 17.2% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 71.4% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $54.31 million in FY2024 (+148.8%), $21.83 million in FY2023 (+197.8%), $7.33 million in FY2022 (-24.6%) and $9.73 million in FY2021 (+220.2%).
- Quarterly Total Current Liabilities has moved between $7.33 million (Q4 2022) and $54.31 million (Q4 2024) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 23.1%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 220.2%); the worst was Q2 2025 (a decline of 42.7%).
- Per Business Quant data, IMNM's Total Current Liabilities in the three quarters before Q2 2026 was $27.41 million (Q1 2026), $44.99 million (Q4 2025) and $31.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Immunome | 2.46 Bn | 429.67 Mn | - | 35.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.71 Mn |
| Mar 31, 2026 | 27.41 Mn |
| Dec 31, 2025 | 44.99 Mn |
| Sep 30, 2025 | 31.45 Mn |
| Jun 30, 2025 | 22.88 Mn |
| Mar 31, 2025 | 30.80 Mn |
| Dec 31, 2024 | 54.31 Mn |
| Sep 30, 2024 | 39.53 Mn |
| Jun 30, 2024 | 39.90 Mn |
| Mar 31, 2024 | 30.77 Mn |
| Dec 31, 2023 | 21.83 Mn |
| Sep 30, 2023 | 23.11 Mn |
| Jun 30, 2023 | 26.39 Mn |
| Mar 31, 2023 | 24.83 Mn |
| Dec 31, 2022 | 7.33 Mn |
| Sep 30, 2022 | 7.37 Mn |
| Jun 30, 2022 | 8.62 Mn |
| Mar 31, 2022 | 9.71 Mn |
| Dec 31, 2021 | 9.73 Mn |
| Sep 30, 2021 | 7.77 Mn |
Immunome Total Current 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-current-liabilities&ticker=IMNM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "IMNM", "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-current-liabilities&ticker=IMNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();