Immatics (IMTX) Total Non-Current Liabilities (2019 - 2026)
Immatics' Total Non-Current Liabilities came in at $33.89 million for Q2 2026, down 34.2% from $51.48 million a year earlier and down 10.1% from the prior quarter.
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Analysis
Immatics (IMTX) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Immatics' Total Non-Current Liabilities was $39.8 million, down 31.0% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -17.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $57.71 million in FY2024 (-60.7%), $146.89 million in FY2023 (+42.2%), $103.3 million in FY2022 (+57.5%) and $65.6 million in FY2021 (-36.0%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year-over-year, Total Non-Current Liabilities has declined for seven consecutive quarters, with an average decline of 36.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 76.8%), and the weakest in Q4 2024 (a decline of 61.0%).
- Business Quant data shows IMTX's Total Non-Current Liabilities at $37.71 million (Q1 2026), $41 million (Q4 2025) and $46.32 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Immatics | 1.15 Bn | -890.58 Mn | - | 33.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.89 Mn |
| Mar 31, 2026 | 37.71 Mn |
| Dec 31, 2025 | 41.00 Mn |
| Sep 30, 2025 | 46.32 Mn |
| Jun 30, 2025 | 51.48 Mn |
| Mar 31, 2025 | 51.87 Mn |
| Dec 31, 2024 | 56.97 Mn |
| Sep 30, 2024 | 75.95 Mn |
| Jun 30, 2024 | 103.55 Mn |
| Mar 31, 2024 | 119.38 Mn |
| Dec 31, 2023 | 146.11 Mn |
| Sep 30, 2023 | 74.62 Mn |
| Jun 30, 2023 | 73.69 Mn |
| Mar 31, 2023 | 83.53 Mn |
| Dec 31, 2022 | 100.00 Mn |
| Sep 30, 2022 | 118.10 Mn |
| Jun 30, 2022 | 138.04 Mn |
| Mar 31, 2022 | 83.44 Mn |
| Dec 31, 2021 | 63.42 Mn |
| Sep 30, 2021 | 66.78 Mn |
API Access
Immatics Total Non-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-non-current-liabilities&ticker=IMTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=IMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();