Immatics (IMTX) Total Liabilities (2019 - 2026)
Immatics (IMTX) posted Total Liabilities of $98.36 million for Q2 2026, down 18.4% from $120.47 million a year earlier and down 1.9% from the prior quarter.
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Analysis
Immatics (IMTX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Immatics' Total Liabilities came in at $91.91 million, down 27.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -14.9% (FY2020 to FY2025).
- In prior years, Immatics' Total Liabilities was $126.23 million in FY2024 (-61.0%), $323.58 million in FY2023 (+48.4%), $217.98 million in FY2022 (+27.8%) and $170.54 million in FY2021 (-17.1%).
- Quarterly Total Liabilities has run from a low of $91.91 million in Q4 2025 to a high of $323.58 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 33.4% 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 52.5%; the weakest was Q3 2021, with a decline of 66.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $100.23 million (Q1 2026), $91.91 million (Q4 2025) and $119.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Immatics | 809.95 Mn | -1.38 Bn | - | 98.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.36 Mn |
| Mar 31, 2026 | 100.23 Mn |
| Dec 31, 2025 | 91.91 Mn |
| Sep 30, 2025 | 119.52 Mn |
| Jun 30, 2025 | 120.47 Mn |
| Mar 31, 2025 | 113.74 Mn |
| Dec 31, 2024 | 126.23 Mn |
| Sep 30, 2024 | 221.23 Mn |
| Jun 30, 2024 | 263.11 Mn |
| Mar 31, 2024 | 279.57 Mn |
| Dec 31, 2023 | 323.58 Mn |
| Sep 30, 2023 | 200.37 Mn |
| Jun 30, 2023 | 208.64 Mn |
| Mar 31, 2023 | 194.54 Mn |
| Dec 31, 2022 | 217.98 Mn |
| Sep 30, 2022 | 237.14 Mn |
| Jun 30, 2022 | 254.23 Mn |
| Mar 31, 2022 | 185.50 Mn |
| Dec 31, 2021 | 170.54 Mn |
| Sep 30, 2021 | 189.98 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();