Immatics (IMTX) Interest Expenses (2019 - 2026)
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Analysis
Immatics (IMTX) Interest Expenses (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | - |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | Immatics | 809.95 Mn | -1.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -423,099.71 |
| Mar 31, 2026 | -522,152.56 |
| Dec 31, 2025 | 84.76 Mn |
| Sep 30, 2025 | -337,856.92 |
| Jun 30, 2025 | -25.78 Mn |
| Mar 31, 2025 | -14.03 Mn |
| Dec 31, 2024 | 7.12 Mn |
| Sep 30, 2024 | -13.83 Mn |
| Jun 30, 2024 | -328,450.71 |
| Mar 31, 2024 | -735,466.92 |
| Dec 31, 2023 | 12.04 Mn |
| Sep 30, 2023 | -1.71 Mn |
| Jun 30, 2023 | -1.25 Mn |
| Mar 31, 2023 | -3.77 Mn |
| Dec 31, 2022 | 10.44 Mn |
| Sep 30, 2022 | -429,524.86 |
| Jun 30, 2022 | -434,292.07 |
| Mar 31, 2022 | -1.25 Mn |
| Dec 31, 2021 | -372,934.53 |
| Sep 30, 2021 | -201,658.13 |
API Access
Immatics Interest Expenses 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=interest-expenses&ticker=IMTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=IMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();