Immatics (IMTX) Total Liabilities (2019 - 2026)
Immatics (IMTX) posted Total Liabilities of $100.09 million for Q2 2026, down 13.9% from $116.28 million a year earlier and down 2.3% from the prior quarter.
Powered by 
Analysis
Immatics (IMTX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Immatics' Total Liabilities came in at $88.39 million, down 32.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- In prior years, Immatics' Total Liabilities was $131.29 million in FY2024 (-58.5%), $316.24 million in FY2023 (+46.7%), $215.5 million in FY2022 (+20.9%) and $178.2 million in FY2021 (-6.7%).
- Quarterly Total Liabilities has run from a low of $91.07 million in Q4 2025 to a high of $314.55 million in Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last seven quarters, with an average decline of 33.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 53.9%; the weakest was Q1 2025, with a decline of 60.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $102.4 million (Q1 2026), $91.07 million (Q4 2025) and $119.1 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 | Immatics | 1.14 Bn | -898.62 Mn | - | 100.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.09 Mn |
| Mar 31, 2026 | 102.40 Mn |
| Dec 31, 2025 | 91.07 Mn |
| Sep 30, 2025 | 119.10 Mn |
| Jun 30, 2025 | 116.28 Mn |
| Mar 31, 2025 | 110.54 Mn |
| Dec 31, 2024 | 129.62 Mn |
| Sep 30, 2024 | 217.52 Mn |
| Jun 30, 2024 | 264.59 Mn |
| Mar 31, 2024 | 281.36 Mn |
| Dec 31, 2023 | 314.55 Mn |
| Sep 30, 2023 | 206.50 Mn |
| Jun 30, 2023 | 209.05 Mn |
| Mar 31, 2023 | 191.49 Mn |
| Dec 31, 2022 | 208.61 Mn |
| Sep 30, 2022 | 243.25 Mn |
| Jun 30, 2022 | 259.68 Mn |
| Mar 31, 2022 | 186.53 Mn |
| Dec 31, 2021 | 172.26 Mn |
| Sep 30, 2021 | 193.11 Mn |
API Access
Immatics 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=IMTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IMTX", "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=IMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();