Werewolf Therapeutics (HOWL) Shares Outstanding (Diluted) (2020 - 2026)
Werewolf Therapeutics (HOWL) recorded Shares Outstanding (Diluted) of 48.6 million in Q2 2026, up 8.0% from 44.98 million a year earlier but down 1.6% from the prior quarter.
Werewolf Therapeutics (HOWL) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Werewolf Therapeutics reported Shares Outstanding (Diluted) of 46.81 million, up 6.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for four straight years, with a five-year compound annual growth rate of 115.6% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 43.86 million in FY2024 (+23.0%), 35.65 million in FY2023 (+23.5%), 28.86 million in FY2022 (+56.4%) and 18.46 million in FY2021.
- Quarterly Shares Outstanding (Diluted) has ranged from 18.46 million in Q4 2021 to 49.39 million in Q1 2026 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 17 consecutive quarters, with growth averaging 10.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 2.1% in Q2 2025 to 56.4% in Q4 2022.
- Per Business Quant, the preceding three quarters came in at 49.39 million (Q1 2026), 46.81 million (Q4 2025) and 45.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Werewolf Therapeutics | 49.09 Mn | -142.18 Mn | - | 48.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.60 Mn |
| Mar 31, 2026 | 49.39 Mn |
| Dec 31, 2025 | 46.81 Mn |
| Sep 30, 2025 | 45.80 Mn |
| Jun 30, 2025 | 44.98 Mn |
| Mar 31, 2025 | 44.83 Mn |
| Dec 31, 2024 | 43.86 Mn |
| Sep 30, 2024 | 43.70 Mn |
| Jun 30, 2024 | 44.04 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 (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=HOWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();