Immatics (IMTX) Shares Outstanding (Diluted) (2020 - 2026)
Immatics' Weighted Average Shares Outstanding (Diluted) came in at 122.35 million for Q2 2026, up 14.6% from 106.8 million a year earlier and unchanged from the prior quarter.
Immatics (IMTX) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Going back to Q4 2020, Immatics' Weighted Average Shares Outstanding (Diluted) data covers 23 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 106.8 million in FY2024 (+32.6%), 80.55 million in FY2023 (+17.0%), 68.82 million in FY2022 (+9.4%) and 62.91 million in FY2021 (+31.1%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 17.2% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q3 2024 (growth of 60.3%), and the weakest in Q3 2025 (a decline of 3.2%).
- Business Quant data shows IMTX's Weighted Average Shares Outstanding (Diluted) at 122.35 million (Q1 2026), 122.35 million (Q4 2025) and 106.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Immatics | 860.74 Mn | -1.20 Bn | - | 122.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.35 Mn |
| Jun 30, 2026 | 122.35 Mn |
| Mar 31, 2026 | 122.35 Mn |
| Dec 31, 2025 | 122.35 Mn |
| Sep 30, 2025 | 106.80 Mn |
| Jun 30, 2025 | 106.80 Mn |
| Mar 31, 2025 | 106.80 Mn |
| Dec 31, 2024 | 106.80 Mn |
| Sep 30, 2024 | 110.30 Mn |
| Jun 30, 2024 | 103.07 Mn |
| Mar 31, 2024 | 105.93 Mn |
| Dec 31, 2023 | 80.55 Mn |
| Sep 30, 2023 | 68.82 Mn |
| Jun 30, 2023 | 68.82 Mn |
| Mar 31, 2023 | 68.82 Mn |
| Dec 31, 2022 | 68.82 Mn |
| Sep 30, 2022 | 62.91 Mn |
| Jun 30, 2022 | 62.91 Mn |
| Mar 31, 2022 | 62.91 Mn |
| Dec 31, 2021 | 62.91 Mn |
Immatics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=IMTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=IMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();