Immatics (IMTX) Cash & Equivalents (2019 - 2026)
Immatics' Cash & Equivalents came in at $270.2 million for Q2 2026, down 7.0% from $290.5 million a year earlier and down 23.4% from the prior quarter.
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Analysis
Immatics (IMTX) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Immatics' Cash & Equivalents was $390.82 million, up 52.5% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $256.24 million in FY2024 (+8.4%), $236.33 million in FY2023 (+51.0%), $156.53 million in FY2022 (-36.3%) and $245.59 million in FY2021 (+3.6%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q1 2025.
- Year-over-year, Cash & Equivalents increased in seven of the last eight quarters, with growth averaging 36.6%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2025 (growth of 88.4%), and the weakest in Q2 2023 (a decline of 42.8%).
- Business Quant data shows IMTX's Cash & Equivalents at $352.78 million (Q1 2026), $402.66 million (Q4 2025) and $391.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Immatics | 1.02 Bn | -1.02 Bn | - | 270.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 270.20 Mn |
| Mar 31, 2026 | 352.78 Mn |
| Dec 31, 2025 | 402.66 Mn |
| Sep 30, 2025 | 391.54 Mn |
| Jun 30, 2025 | 290.50 Mn |
| Mar 31, 2025 | 255.44 Mn |
| Dec 31, 2024 | 252.99 Mn |
| Sep 30, 2024 | 207.78 Mn |
| Jun 30, 2024 | 170.30 Mn |
| Mar 31, 2024 | 237.34 Mn |
| Dec 31, 2023 | 235.06 Mn |
| Sep 30, 2023 | 161.68 Mn |
| Jun 30, 2023 | 161.73 Mn |
| Mar 31, 2023 | 159.41 Mn |
| Dec 31, 2022 | 151.53 Mn |
| Sep 30, 2022 | 179.52 Mn |
| Jun 30, 2022 | 282.90 Mn |
| Mar 31, 2022 | 277.57 Mn |
| Dec 31, 2021 | 152.14 Mn |
| Sep 30, 2021 | 190.21 Mn |
API Access
Immatics Cash & Equivalents 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=cash-and-equivalents&ticker=IMTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();