Immatics (IMTX) Total Debt (2019 - 2023)
Immatics (IMTX) posted Total Debt of -$1.1 million for Q4 2025.
Analysis
Immatics (IMTX) Total Debt (2019 - 2023) Analysis & Trends
At the end of FY2025, Immatics' Total Debt came in at -$1.07 million.
- In prior years, Immatics' Total Debt was $32.97 million in FY2021 (+71.2%).
- The Q4 2025 figure stands as the highest quarterly Total Debt since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.91 Bn | 1,101.50 Bn | 19.71 Bn | 54.91 Bn |
| 2 | Johnson & Johnson | 615.07 Bn | 533.59 Bn | 17.26 Bn | 49.04 Bn |
| 3 | AbbVie | 505.92 Bn | 479.03 Bn | 12.70 Bn | 70.82 Bn |
| 4 | Merck | 368.10 Bn | 322.48 Bn | 12.21 Bn | 53.91 Bn |
| 5 | Novartis Ag | 298.25 Bn | 262.24 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 261.76 Bn | 235.45 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 236.19 Bn | 191.59 Bn | 7.24 Bn | 57.30 Bn |
| 8 | Gilead Sciences | 190.38 Bn | 164.57 Bn | 6.22 Bn | 26.25 Bn |
| 9 | Pfizer | 170.37 Bn | 117.02 Bn | 10.94 Bn | 63.19 Bn |
| 10 | Immatics | 952.48 Mn | -1.07 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 65.03 Mn |
| Jun 30, 2023 | 63.86 Mn |
| Mar 31, 2023 | 41.88 Mn |
| Dec 31, 2022 | 62.64 Mn |
| Sep 30, 2022 | 52.06 Mn |
| Jun 30, 2022 | 14.75 Mn |
| Mar 31, 2022 | 41.42 Mn |
| Dec 31, 2021 | 77.09 Mn |
| Sep 30, 2021 | 76.37 Mn |
| Jun 30, 2021 | 26.81 Mn |
| Mar 31, 2021 | 13.74 Mn |
| Dec 31, 2020 | 56.35 Mn |
| Jun 30, 2020 | 11.21 Mn |
| Dec 31, 2019 | 9.38 Mn |
API Access
Immatics Total Debt 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-debt&ticker=IMTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=IMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();