Werewolf Therapeutics (HOWL) Shares Outstanding (2020 - 2026)
Werewolf Therapeutics (HOWL) posted Shares Outstanding of 48.6 million for Q2 2026, up 8.0% from 44.98 million a year earlier and unchanged from the prior quarter.
Werewolf Therapeutics (HOWL) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Werewolf Therapeutics' Shares Outstanding came in at 46.02 million, up 6.2% from FY2024.
- Annual Shares Outstanding has increased for four consecutive years, with a five-year compound annual growth rate of 114.9% (FY2020 to FY2025).
- In prior years, Werewolf Therapeutics' Shares Outstanding was 43.33 million in FY2024 (+21.6%), 35.65 million in FY2023 (+23.5%), 28.86 million in FY2022 (+56.4%) and 18.46 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q1 2020.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 17 quarters, with growth averaging 10.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 3.4% in Q2 2025 to 56.4% in Q4 2022.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 48.6 million (Q1 2026), 46.02 million (Q4 2025) and 45.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 892.40 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 2.41 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 540.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Werewolf Therapeutics | 49.57 Mn | -141.69 Mn | - | 48.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.60 Mn |
| Mar 31, 2026 | 48.60 Mn |
| Dec 31, 2025 | 46.02 Mn |
| Sep 30, 2025 | 45.80 Mn |
| Jun 30, 2025 | 44.98 Mn |
| Mar 31, 2025 | 44.83 Mn |
| Dec 31, 2024 | 43.33 Mn |
| Sep 30, 2024 | 43.70 Mn |
| Jun 30, 2024 | 43.52 Mn |
| Mar 31, 2024 | 41.61 Mn |
| Dec 31, 2023 | 35.65 Mn |
| Sep 30, 2023 | 35.65 Mn |
| Jun 30, 2023 | 35.56 Mn |
| Mar 31, 2023 | 34.79 Mn |
| Dec 31, 2022 | 28.86 Mn |
| Sep 30, 2022 | 29.76 Mn |
| Jun 30, 2022 | 27.52 Mn |
| Mar 31, 2022 | 27.39 Mn |
| Dec 31, 2021 | 18.46 Mn |
| Sep 30, 2021 | 27.19 Mn |
Werewolf Therapeutics Shares Outstanding 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&ticker=HOWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "HOWL", "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&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();